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2020 – today
- 2024
[c24]Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty:
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. ICLR 2024- [i21]Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo:
ThinK: Thinner Key Cache by Query-Driven Pruning. CoRR abs/2407.21018 (2024) - [i20]Lei Wang, Shan Dong, Yuhui Xu, Hanze Dong, Yalu Wang, Amrita Saha, Ee-Peng Lim, Caiming Xiong, Doyen Sahoo:
MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs. CoRR abs/2410.04698 (2024) - [i19]Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo:
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning. CoRR abs/2410.07627 (2024) - 2023
- [j4]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:
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24: 226:1-226:6 (2023) - [c23]Hailin Chen, Amrita Saha, Steven Chu-Hong Hoi, Shafiq Joty:
Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. EMNLP 2023: 6737-6749 - [i18]Qian Cheng, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
LogAI: A Library for Log Analytics and Intelligence. CoRR abs/2301.13415 (2023) - [i17]Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi:
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges. CoRR abs/2304.04661 (2023) - [i16]Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty:
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. CoRR abs/2310.08992 (2023) - [i15]Hailin Chen, Amrita Saha, Steven C. H. Hoi, Shafiq Joty:
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. CoRR abs/2310.18628 (2023) - 2022
- [c22]Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text. AAAI 2022: 11238-11247 - [c21]Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Learning Label Modular Prompts for Text Classification in the Wild. EMNLP 2022: 1677-1690 - [c20]Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi, Soujanya Poria:
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. EMNLP 2022: 6776-6791 - [c19]Amrita Saha, Steven C. H. Hoi:
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps. ICSE (SEIP) 2022: 197-206 - [i14]Amrita Saha, Steven C. H. Hoi:
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps. CoRR abs/2204.11598 (2022) - [i13]Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi:
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. CoRR abs/2205.11024 (2022) - [i12]Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Learning Label Modular Prompts for Text Classification in the Wild. CoRR abs/2211.17142 (2022) - 2021
- [i11]Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning. CoRR abs/2101.11802 (2021) - [i10]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:
Merlion: A Machine Learning Library for Time Series. CoRR abs/2109.09265 (2021)
2010 – 2019
- 2019
- [j3]Amrita Saha, Ghulam Ahmed Ansari, Abhishek Laddha, Karthik Sankaranarayanan, Soumen Chakrabarti:
Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs. Trans. Assoc. Comput. Linguistics 7: 185-200 (2019) - [c18]Sai Koti Reddy Danda, Amrita Saha, Srikanth G. Tamilselvam, Priyanka Agrawal, Pankaj Dayama:
Risk Averse Reinforcement Learning for Mixed Multi-agent Environments. AAMAS 2019: 2171-2173 - [c17]Ghulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar
, Mohan Bhambhani, Karthik Sankaranarayanan, Soumen Chakrabarti:
Neural Program Induction for KBQA Without Gold Programs or Query Annotations. IJCAI 2019: 4890-4896 - [i9]Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra:
Scene Graph based Image Retrieval - A case study on the CLEVR Dataset. CoRR abs/1911.00850 (2019) - 2018
- [c16]Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan:
Towards Building Large Scale Multimodal Domain-Aware Conversation Systems. AAAI 2018: 696-704 - [c15]Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. AAAI 2018: 705-713 - [c14]Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan:
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. ACL (1) 2018: 1683-1693 - [c13]Amrita Saha, Megha Nawhal, Mitesh M. Khapra, Vikas C. Raykar:
Learning Disentangled Multimodal Representations for the Fashion Domain. WACV 2018: 557-566 - [i8]Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. CoRR abs/1801.10314 (2018) - [i7]Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan:
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension. CoRR abs/1804.07927 (2018) - 2017
- [c12]Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, Noam Slonim:
Stance Classification of Context-Dependent Claims. EACL (1) 2017: 251-261 - [i6]Amrita Saha, Mitesh M. Khapra, Karthik Sankaranarayanan:
Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations. CoRR abs/1704.00200 (2017) - 2016
- [c11]Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho:
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. COLING 2016: 109-118 - [i5]Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho:
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. CoRR abs/1606.04754 (2016) - 2015
- [c10]Vikas C. Raykar, Amrita Saha:
Data Split Strategiesfor Evolving Predictive Models. ECML/PKDD (1) 2015: 3-19 - [i4]Amrita Saha, Sathish Indurthi, Shantanu Godbole, Subendhu Rongali, Vikas C. Raykar:
Taxonomy grounded aggregation of classifiers with different label sets. CoRR abs/1512.00355 (2015) - 2014
- [c9]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:
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. COLING (Demos) 2014: 6-9 - [c8]A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha:
An Autoencoder Approach to Learning Bilingual Word Representations. NIPS 2014: 1853-1861 - [c7]Priyanka Agrawal, Vikas C. Raykar, Amrita Saha:
AUC dominant unsupervised ensemble of binary classifiers. SDM 2014: 271-279 - [i3]A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha:
An Autoencoder Approach to Learning Bilingual Word Representations. CoRR abs/1402.1454 (2014) - 2013
- [j2]Amrita Saha, Manideepa Mukherjee, Debanjana Datta, Sangita Saha, Amitabha Sinha:
Performance analysis of a FPGA based novel binary and DBNS multiplier. SIGARCH Comput. Archit. News 41(2): 9-16 (2013) - [j1]Amrita Saha, Pijush Biswas, Amitabha Sinha:
An integrated development platform of a reconfigurable radio processor for software defined radio. SIGARCH Comput. Archit. News 41(2): 30-35 (2013) - [c6]Amrita Saha, Naveen Nair, Ganesh Ramakrishnan:
Optimally Extracting Discriminative Disjunctive Features for Dimensionality Reduction. COMAD 2013: 68-77 - 2012
- [c5]Naveen Nair, Amrita Saha, Ganesh Ramakrishnan, Shonali Krishnaswamy:
Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces. AAAI 2012: 1061-1067 - [c4]Amrita Saha, Ashwin Srinivasan, Ganesh Ramakrishnan:
What Kinds of Relational Features Are Useful for Statistical Learning? ILP 2012: 209-224 - [i2]Subhabrata Mukherjee, Amrita Saha, Mrinal K. Naskar, Amitava Mukherjee:
Multisource Adaptive Data Distribution and Routing in Wireless Sensor Networks. CoRR abs/1204.2880 (2012) - 2011
- [c3]Samiran Bag, Amrita Saha, Pinaki Sarkar:
Highly Resilient Communication Using Affine Planes for Key Predistribution and Reed Muller Codes for Connectivity in Wireless Sensor Network. WiMo/CoNeCo 2011: 83-94 - 2010
- [c2]Pinaki Sarkar, Amrita Saha, Morshed U. Chowdhury:
Secure connectivity model in Wireless Sensor Networks (WSN) using first order Reed-Muller codes. MASS 2010: 507-512 - [i1]Pinaki Sarkar, Amrita Saha, Morshed U. Chowdhury:
Secure Connectivity Model In Wireless Sensor Network(WSN) Using 1st Order Reed Muller Codes. IACR Cryptol. ePrint Arch. 2010: 356 (2010)
2000 – 2009
- 2009
- [c1]Amrita Saha, Amitabha Sinha:
An FPGA Based Architecture of a Novel Reconfigurable Radio Processor for Software Defined Radio. ICETC 2009: 45-49
Coauthor Index
aka: Steven Chu-Hong Hoi
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last updated on 2024-11-19 21:47 CET by the dblp team
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