Caiming Xiong
Orcid: 0000-0003-0349-8628
According to our database1,
Caiming Xiong
authored at least 320 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
CoRR, 2024
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness.
CoRR, 2024
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets.
CoRR, 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens.
CoRR, 2024
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting.
CoRR, 2024
Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions.
CoRR, 2024
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.
CoRR, 2024
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases.
CoRR, 2024
CoRR, 2024
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.
CoRR, 2024
CoRR, 2024
Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions.
CoRR, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Proceedings of the Causal Learning and Reasoning, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
ACM Trans. Comput. Hum. Interact., December, 2023
Pattern Recognit. Lett., April, 2023
Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models.
CoRR, 2023
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning.
CoRR, 2023
CoRR, 2023
Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment.
CoRR, 2023
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models.
CoRR, 2023
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data.
CoRR, 2023
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding.
CoRR, 2022
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022
2021
Trans. Assoc. Comput. Linguistics, 2021
Int. J. Comput. Vis., 2021
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution.
CoRR, 2021
CoRR, 2021
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE.
CoRR, 2021
CoRR, 2021
CoRR, 2021
ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations.
CoRR, 2021
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
CoRR, 2020
CoRR, 2020
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT.
CoRR, 2020
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning.
CoRR, 2020
Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width.
CoRR, 2020
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking.
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models.
CoRR, 2019
CoRR, 2019
CoRR, 2019
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering.
CoRR, 2019
Proceedings of the Fourth Conference on Machine Translation, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019
2018
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies.
IEEE Trans. Knowl. Data Eng., 2016
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Accurate Annotation of Remote Sensing Images via Active Spectral Clustering with Little Expert Knowledge.
Remote. Sens., 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015
Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions.
Proceedings of the Computer Vision - ECCV 2014, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Uncertainty Reduction for Active Image Clustering via a Hybrid Global-Local Uncertainty Model.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013
2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
2009
Multim. Tools Appl., 2009