Anoop Deoras

Orcid: 0009-0007-4566-8767

According to our database1, Anoop Deoras authored at least 37 papers between 2008 and 2024.

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Bibliography

2024
Approximately Aligned Decoding.
CoRR, 2024

Training LLMs to Better Self-Debug and Explain Code.
CoRR, 2024

Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Pre-trained Recommender Systems: A Causal Debiasing Perspective.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Collage: Light-Weight Low-Precision Strategy for LLM Training.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fewer Truncations Improve Language Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CodeFort: Robust Training for Code Generation Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

BASS: Batched Attention-optimized Speculative Sampling.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Lightweight reranking for language model generations.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Pre-trained Recommender Systems: A Causal Debiasing Perspective.
CoRR, 2023

Self-consistency for open-ended generations.
CoRR, 2023

Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Personalized federated domain adaptation for item-to-item recommendation.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Trending Now: Modeling Trend Recommendations.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022
Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series.
CoRR, 2022

Bridging Recommendation and Marketing via Recurrent Intensity Modeling.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Zero-Shot Recommender Systems.
CoRR, 2021

2016
An Empirical Investigation of Word Class-Based Features for Natural Language Understanding.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

2014
Application of Deep Belief Networks for Natural Language Understanding.
IEEE ACM Trans. Audio Speech Lang. Process., 2014

Detecting out-of-domain utterances addressed to a virtual personal assistant.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Shrinkage based features for slot tagging with conditional random fields.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Task specific continuous word representations for mono and multi-lingual spoken language understanding.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Joint Discriminative Decoding of Words and Semantic Tags for Spoken Language Understanding.
IEEE Trans. Speech Audio Process., 2013

Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model.
Speech Commun., 2013

Semantic parsing using word confusion networks with conditional random fields.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Deep belief network based semantic taggers for spoken language understanding.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

2012
Joint Decoding for Speech Recognition and Semantic Tagging.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

2011
Empirical Evaluation and Combination of Advanced Language Modeling Techniques.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Variational approximation of long-span language models for lvcsr.
Proceedings of the IEEE International Conference on Acoustics, 2011

A Fast Re-scoring Strategy to Capture Long-Distance Dependencies.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Strategies for training large scale neural network language models.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
Model combination for Speech Recognition using Empirical Bayes Risk minimization.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Language model adaptation using Random Forests.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Iterative decoding: A novel re-scoring framework for confusion networks.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008
Decoding-time prediction of non-verbalized punctuation.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008


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