Amrita Saha

According to our database, Amrita Saha authored at least 43 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

XForecast: Evaluating Natural Language Explanations for Time Series Forecasting.

Taha Aksu, Chenghao Liu, Amrita Saha, Sarah Tan, Caiming Xiong, Doyen Sahoo

CoRR, 2024

Automatic Curriculum Expert Iteration for Reliable LLM Reasoning.

Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo

CoRR, 2024

MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs.

Lei Wang, Shan Dong, Yuhui Xu, Hanze Dong, Yalu Wang, Amrita Saha, Ee-Peng Lim, Caiming Xiong, Doyen Sahoo

CoRR, 2024

ThinK: Thinner Key Cache by Query-Driven Pruning.

Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo

CoRR, 2024

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules.

Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Merlion: End-to-End Machine Learning for Time Series.

Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang

J. Mach. Learn. Res., 2023

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.

Hailin Chen, Amrita Saha, Steven C. H. Hoi, Shafiq Joty

CoRR, 2023

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges.

Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi

CoRR, 2023

LogAI: A Library for Log Analytics and Intelligence.

Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi

CoRR, 2023

Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.

Hailin Chen, Amrita Saha, Steven Chu-Hong Hoi, Shafiq Joty

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding.

Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi

CoRR, 2022

Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps.

Amrita Saha, Steven C. H. Hoi

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

Learning Label Modular Prompts for Text Classification in the Wild.

Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding.

Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi, Soujanya Poria

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text.

Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Merlion: A Machine Learning Library for Time Series.

Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang

CoRR, 2021

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning.

Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi

CoRR, 2021

2019

Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs.

Amrita Saha, Ghulam Ahmed Ansari, Abhishek Laddha, Karthik Sankaranarayanan, Soumen Chakrabarti

Trans. Assoc. Comput. Linguistics, 2019

Scene Graph based Image Retrieval - A case study on the CLEVR Dataset.

Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra

CoRR, 2019

Neural Program Induction for KBQA Without Gold Programs or Query Annotations.

Ghulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar, Mohan Bhambhani, Karthik Sankaranarayanan, Soumen Chakrabarti

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Risk Averse Reinforcement Learning for Mixed Multi-agent Environments.

Sai Koti Reddy Danda, Amrita Saha, Srikanth G. Tamilselvam, Priyanka Agrawal, Pankaj Dayama

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Learning Disentangled Multimodal Representations for the Fashion Domain.

Amrita Saha, Megha Nawhal, Mitesh M. Khapra, Vikas C. Raykar

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension.

Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph.

Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Towards Building Large Scale Multimodal Domain-Aware Conversation Systems.

Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations.

Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan

CoRR, 2017

Stance Classification of Context-Dependent Claims.

Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, Noam Slonim

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation.

Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho

Proceedings of the COLING 2016, 2016

2015

Taxonomy grounded aggregation of classifiers with different label sets.

Amrita Saha, Sathish Indurthi, Shantanu Godbole, Subendhu Rongali, Vikas C. Raykar

CoRR, 2015

Data Split Strategiesfor Evolving Predictive Models.

Vikas C. Raykar, Amrita Saha

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

AUC dominant unsupervised ensemble of binary classifiers.

Priyanka Agrawal, Vikas C. Raykar, Amrita Saha

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

An Autoencoder Approach to Learning Bilingual Word Representations.

A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora.

Noam Slonim, Ehud Aharoni, Carlos Alzate, Roy Bar-Haim, Yonatan Bilu, Lena Dankin, Iris Eiron, Daniel Hershcovich, Shay Hummel, Mitesh M. Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas C. Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund

Proceedings of the COLING 2014, 2014

2013

Performance analysis of a FPGA based novel binary and DBNS multiplier.

Amrita Saha, Manideepa Mukherjee, Debanjana Datta, Sangita Saha, Amitabha Sinha

SIGARCH Comput. Archit. News, 2013

An integrated development platform of a reconfigurable radio processor for software defined radio.

Amrita Saha, Pijush Biswas, Amitabha Sinha

SIGARCH Comput. Archit. News, 2013

Optimally Extracting Discriminative Disjunctive Features for Dimensionality Reduction.

Amrita Saha, Naveen Nair, Ganesh Ramakrishnan

Proceedings of the 19th International Conference on Management of Data, 2013

2012

Multisource Adaptive Data Distribution and Routing in Wireless Sensor Networks

Subhabrata Mukherjee, Amrita Saha, Mrinal K. Naskar, Amitava Mukherjee

CoRR, 2012

What Kinds of Relational Features Are Useful for Statistical Learning?

Amrita Saha, Ashwin Srinivasan, Ganesh Ramakrishnan

Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces.

Naveen Nair, Amrita Saha, Ganesh Ramakrishnan, Shonali Krishnaswamy

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Highly Resilient Communication Using Affine Planes for Key Predistribution and Reed Muller Codes for Connectivity in Wireless Sensor Network.

Samiran Bag, Amrita Saha, Pinaki Sarkar

Proceedings of the Recent Trends in Wireless and Mobile Networks, 2011

2010

Secure Connectivity Model In Wireless Sensor Network(WSN) Using 1st Order Reed Muller Codes.

Pinaki Sarkar, Amrita Saha, Morshed U. Chowdhury

IACR Cryptol. ePrint Arch., 2010

Secure connectivity model in Wireless Sensor Networks (WSN) using first order Reed-Muller codes.

Pinaki Sarkar, Amrita Saha, Morshed U. Chowdhury

Proceedings of the IEEE 7th International Conference on Mobile Adhoc and Sensor Systems, 2010

2009

An FPGA Based Architecture of a Novel Reconfigurable Radio Processor for Software Defined Radio.

Amrita Saha, Amitabha Sinha

Proceedings of the 2009 International Conference on Education Technology and Computer, 2009