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Anoop Deoras
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2020 – today
- 2024
- [c21]Ziqian Lin, Hao Ding, Trong Nghia Hoang, Branislav Kveton
, Anoop Deoras, Hao Wang:
Pre-trained Recommender Systems: A Causal Debiasing Perspective. WSDM 2024: 424-433 - [c20]Behnam Rahdari
, Hao Ding
, Ziwei Fan
, Yifei Ma
, Zhuotong Chen
, Anoop Deoras
, Branislav Kveton
:
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. WSDM 2024: 1078-1081 - [i14]Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto:
Fewer Truncations Improve Language Modeling. CoRR abs/2404.10830 (2024) - [i13]Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras:
BASS: Batched Attention-optimized Speculative Sampling. CoRR abs/2404.15778 (2024) - [i12]Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras:
CodeFort: Robust Training for Code Generation Models. CoRR abs/2405.01567 (2024) - [i11]Tao Yu, Gaurav Gupta, Karthick Gopalswamy, Amith Mamidala, Hao Zhou, Jeffrey Huynh, Youngsuk Park, Ron Diamant, Anoop Deoras, Luke Huan:
Collage: Light-Weight Low-Precision Strategy for LLM Training. CoRR abs/2405.03637 (2024) - [i10]Gauthier Guinet, Behrooz Omidvar-Tehrani, Anoop Deoras, Laurent Callot:
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation. CoRR abs/2405.13622 (2024) - [i9]Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras:
Training LLMs to Better Self-Debug and Explain Code. CoRR abs/2405.18649 (2024) - 2023
- [c19]Hao Ding, Branislav Kveton
, Yifei Ma, Youngsuk Park
, Venkataramana Kini, Yupeng Gu, Ravi Divvela, Fei Wang, Anoop Deoras, Hao Wang:
Trending Now: Modeling Trend Recommendations. RecSys 2023: 294-305 - [c18]Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang:
Personalized federated domain adaptation for item-to-item recommendation. UAI 2023: 560-570 - [c17]Anusha Lalitha, Kousha Kalantari, Yifei Ma, Anoop Deoras, Branislav Kveton:
Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances. UAI 2023: 1164-1173 - [i8]Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang:
Personalized Federated Domain Adaptation for Item-to-Item Recommendation. CoRR abs/2306.03191 (2023) - [i7]Anusha Lalitha, Kousha Kalantari, Yifei Ma, Anoop Deoras, Branislav Kveton:
Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances. CoRR abs/2306.07549 (2023) - [i6]Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang:
Self-consistency for open-ended generations. CoRR abs/2307.06857 (2023) - [i5]Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang:
Pre-trained Recommender Systems: A Causal Debiasing Perspective. CoRR abs/2310.19251 (2023) - [i4]Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton:
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. CoRR abs/2312.14345 (2023) - 2022
- [c16]Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis:
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. AISTATS 2022: 1062-1077 - [c15]Yifei Ma, Ge Liu, Anoop Deoras:
Bridging Recommendation and Marketing via Recurrent Intensity Modeling. ICLR 2022 - [i3]Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis:
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. CoRR abs/2203.12598 (2022) - [i2]Mostafa Rahmani, Anoop Deoras, Laurent Callot:
Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series. CoRR abs/2205.15548 (2022) - 2021
- [i1]Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, Hao Wang:
Zero-Shot Recommender Systems. CoRR abs/2105.08318 (2021)
2010 – 2019
- 2016
- [j4]Asli Celikyilmaz, Ruhi Sarikaya, Minwoo Jeong, Anoop Deoras:
An Empirical Investigation of Word Class-Based Features for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 24(6): 994-1005 (2016) - 2014
- [j3]Ruhi Sarikaya, Geoffrey E. Hinton, Anoop Deoras:
Application of Deep Belief Networks for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 22(4): 778-784 (2014) - [c14]Tasos Anastasakos, Young-Bum Kim, Anoop Deoras:
Task specific continuous word representations for mono and multi-lingual spoken language understanding. ICASSP 2014: 3246-3250 - [c13]Ruhi Sarikaya, Asli Celikyilmaz, Anoop Deoras, Minwoo Jeong:
Shrinkage based features for slot tagging with conditional random fields. INTERSPEECH 2014: 268-272 - [c12]Gökhan Tür, Anoop Deoras, Dilek Hakkani-Tür:
Detecting out-of-domain utterances addressed to a virtual personal assistant. INTERSPEECH 2014: 283-287 - 2013
- [j2]Anoop Deoras, Tomás Mikolov, Stefan Kombrink, Kenneth Church
:
Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model. Speech Commun. 55(1): 162-177 (2013) - [j1]Anoop Deoras, Gökhan Tür, Ruhi Sarikaya, Dilek Hakkani-Tür:
Joint Discriminative Decoding of Words and Semantic Tags for Spoken Language Understanding. IEEE Trans. Speech Audio Process. 21(8): 1612-1621 (2013) - [c11]Gökhan Tür, Anoop Deoras, Dilek Hakkani-Tür:
Semantic parsing using word confusion networks with conditional random fields. INTERSPEECH 2013: 2579-2583 - [c10]Anoop Deoras, Ruhi Sarikaya:
Deep belief network based semantic taggers for spoken language understanding. INTERSPEECH 2013: 2713-2717 - 2012
- [c9]Anoop Deoras, Ruhi Sarikaya, Gökhan Tür, Dilek Hakkani-Tür:
Joint Decoding for Speech Recognition and Semantic Tagging. INTERSPEECH 2012: 1067-1070 - 2011
- [c8]Tomás Mikolov, Anoop Deoras, Daniel Povey, Lukás Burget
, Jan Cernocký
:
Strategies for training large scale neural network language models. ASRU 2011: 196-201 - [c7]Anoop Deoras, Tomás Mikolov, Kenneth Church:
A Fast Re-scoring Strategy to Capture Long-Distance Dependencies. EMNLP 2011: 1116-1127 - [c6]Anoop Deoras, Tomás Mikolov, Stefan Kombrink, Martin Karafiát
, Sanjeev Khudanpur:
Variational approximation of long-span language models for lvcsr. ICASSP 2011: 5532-5535 - [c5]Tomás Mikolov, Anoop Deoras, Stefan Kombrink, Lukás Burget, Jan Cernocký:
Empirical Evaluation and Combination of Advanced Language Modeling Techniques. INTERSPEECH 2011: 605-608 - 2010
- [c4]Anoop Deoras, Frederick Jelinek, Yi Su:
Language model adaptation using Random Forests. ICASSP 2010: 5198-5201 - [c3]Anoop Deoras, Denis Filimonov, Mary P. Harper, Frederick Jelinek:
Model combination for Speech Recognition using Empirical Bayes Risk minimization. SLT 2010: 235-240
2000 – 2009
- 2009
- [c2]Anoop Deoras, Frederick Jelinek:
Iterative decoding: A novel re-scoring framework for confusion networks. ASRU 2009: 282-286 - 2008
- [c1]Anoop Deoras, Jürgen Fritsch:
Decoding-time prediction of non-verbalized punctuation. INTERSPEECH 2008: 1449-1452
Coauthor Index
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last updated on 2024-07-27 16:45 CEST by the dblp team
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