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2020 – today
- 2023
[i200]Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
Model-Agnostic Hierarchical Attention for 3D Object Detection. CoRR abs/2301.02650 (2023)- [i199]Devansh Arpit, Matthew Fernandez, Chenghao Liu, Weiran Yao, Wenzhuo Yang, Paul Josel, Shelby Heinecke, Eric Hu, Huan Wang, Stephen Hoi, Caiming Xiong, Kun Zhang, Juan Carlos Niebles:
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data. CoRR abs/2301.10859 (2023) - [i198]Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai:
Lower Bounds for Learning in Revealing POMDPs. CoRR abs/2302.01333 (2023) - [i197]Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai:
Improved Online Conformal Prediction via Strongly Adaptive Online Learning. CoRR abs/2302.07869 (2023) - [i196]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong:
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions. CoRR abs/2302.08997 (2023) - [i195]Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun:
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR abs/2302.09419 (2023) - [i194]Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang:
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. CoRR abs/2302.10342 (2023) - [i193]Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. CoRR abs/2303.03608 (2023) - [i192]Itai Feigenbaum, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Devansh Arpit:
On the Unlikelihood of D-Separation. CoRR abs/2303.05628 (2023) - [i191]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR abs/2303.09618 (2023) - [i190]Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu:
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. CoRR abs/2303.10056 (2023) - 2022
- [j9]Zuxuan Wu
, Hengduo Li, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
A Dynamic Frame Selection Framework for Fast Video Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1699-1711 (2022) - [j8]Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Hailey Schoelkopf, Riley Kong, Xiangru Tang, Mutethia Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev:
FeTaQA: Free-form Table Question Answering. Trans. Assoc. Comput. Linguistics 10: 35-49 (2022) - [c159]Govardana Sachithanandam Ramachandran, Kazuma Hashimoto, Caiming Xiong:
[CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue. ACL (1) 2022: 92-102 - [c158]Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong:
Modeling Multi-hop Question Answering as Single Sequence Prediction. ACL (1) 2022: 974-990 - [c157]Tong Niu, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval. ACL (Findings) 2022: 2869-2882 - [c156]Wenpeng Yin, Jia Li, Caiming Xiong:
ConTinTin: Continual Learning from Task Instructions. ACL (1) 2022: 3062-3072 - [c155]Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
DialFact: A Benchmark for Fact-Checking in Dialogue. ACL (1) 2022: 3785-3801 - [c154]Chien-Sheng Wu, Andrea Madotto, Wenhao Liu, Pascale Fung, Caiming Xiong:
QAConv: Question Answering on Informative Conversations. ACL (1) 2022: 5389-5411 - [c153]Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. ACL (1) 2022: 6032-6043 - [c152]Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu:
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. ConvAI@ACL 2022: 12-20 - [c151]Mingfei Gao, Le Xue, Chetan Ramaiah, Chen Xing, Ran Xu, Caiming Xiong:
DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like Documents. COLING 2022: 2141-2146 - [c150]Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah:
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework. CVPR 2022: 16639-16648 - [c149]Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong:
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels. ECCV (10) 2022: 266-282 - [c148]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 2022: 602-631 - [c147]Philippe Laban, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets. EMNLP 2022: 2094-2108 - [c146]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang Chen, Caiming Xiong:
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage. EMNLP (Findings) 2022: 5180-5194 - [c145]Lifu Tu, Caiming Xiong, Yingbo Zhou:
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. EMNLP (Findings) 2022: 5478-5485 - [c144]Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong:
CTRLsum: Towards Generic Controllable Text Summarization. EMNLP 2022: 5879-5915 - [c143]Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev:
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization. EMNLP (Findings) 2022: 6536-6558 - [c142]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. EMNLP 2022: 8858-8869 - [c141]Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong:
Improving Factual Consistency in Summarization with Compression-Based Post-Editing. EMNLP 2022: 9149-9156 - [c140]Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi:
SPE: Symmetrical Prompt Enhancement for Fact Probing. EMNLP 2022: 11689-11698 - [c139]Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong:
Efficient and Differentiable Conformal Prediction with General Function Classes. ICLR 2022 - [c138]Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi:
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. ICML 2022: 12888-12900 - [c137]Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu:
NaturalCC: An Open-Source Toolkit for Code Intelligence. ICSE-Companion 2022: 149-153 - [c136]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Wenhao Liu, Caiming Xiong:
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation. NAACL-HLT (Findings) 2022: 102-111 - [c135]Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong:
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis. NAACL-HLT (Findings) 2022: 770-787 - [c134]Lidiya Murakhovs'ka, Chien-Sheng Wu, Philippe Laban, Tong Niu, Wenhao Liu, Caiming Xiong:
MixQG: Neural Question Generation with Mixed Answer Types. NAACL-HLT (Findings) 2022: 1486-1497 - [c133]Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. NAACL-HLT 2022: 2587-2601 - [c132]Yongjun Chen, Jia Li, Caiming Xiong:
ELECRec: Training Sequential Recommenders as Discriminators. SIGIR 2022: 2550-2554 - [c131]Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone:
Local calibration: metrics and recalibration. UAI 2022: 1286-1295 - [c130]Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong:
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. WSDM 2022: 1597-1600 - [c129]Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. WWW 2022: 2172-2182 - [i189]Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong:
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. CoRR abs/2201.04399 (2022) - [i188]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR abs/2201.05966 (2022) - [i187]Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi:
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. CoRR abs/2201.12086 (2022) - [i186]Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. CoRR abs/2202.02519 (2022) - [i185]Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong:
Efficient and Differentiable Conformal Prediction with General Function Classes. CoRR abs/2202.11091 (2022) - [i184]Liang Qiu, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
Structure Extraction in Task-Oriented Dialogues with Slot Clustering. CoRR abs/2203.00073 (2022) - [i183]Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong:
Long Document Summarization with Top-down and Bottom-up Inference. CoRR abs/2203.07586 (2022) - [i182]Wenpeng Yin, Jia Li, Caiming Xiong:
ConTinTin: Continual Learning from Task Instructions. CoRR abs/2203.08512 (2022) - [i181]Tian Xie, Xinyi Yang, Angela S. Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, Gang Wu, Michael Jones, Richard Socher, Yingbo Zhou, Wenhao Liu, Caiming Xiong:
Converse: A Tree-Based Modular Task-Oriented Dialogue System. CoRR abs/2203.12187 (2022) - [i180]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
A Conversational Paradigm for Program Synthesis. CoRR abs/2203.13474 (2022) - [i179]Zhiwei Liu, Yongjun Chen, Jia Li, Man Luo, Philip S. Yu, Caiming Xiong:
Improving Contrastive Learning with Model Augmentation. CoRR abs/2203.15508 (2022) - [i178]Yongjun Chen, Jia Li, Caiming Xiong:
ELECRec: Training Sequential Recommenders as Discriminators. CoRR abs/2204.02011 (2022) - [i177]Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong:
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis. CoRR abs/2204.05356 (2022) - [i176]Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah:
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework. CoRR abs/2204.13207 (2022) - [i175]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Wenhao Liu, Caiming Xiong:
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation. CoRR abs/2205.01730 (2022) - [i174]Philippe Laban, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets. CoRR abs/2205.06871 (2022) - [i173]Tong Niu, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval. CoRR abs/2205.08605 (2022) - [i172]Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong:
Modeling Multi-hop Question Answering as Single Sequence Prediction. CoRR abs/2205.09226 (2022) - [i171]Wenzhuo Yang, Jia Li, Caiming Xiong, Steven C. H. Hoi:
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation. CoRR abs/2205.15540 (2022) - [i170]Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai:
Policy Optimization for Markov Games: Unified Framework and Faster Convergence. CoRR abs/2206.02640 (2022) - [i169]Xiang 'Anthony' Chen, Chien-Sheng Wu, Tong Niu, Wenhao Liu, Caiming Xiong:
Marvista: A Human-AI Collaborative Reading Tool. CoRR abs/2207.08401 (2022) - [i168]Paul Kassianik, Erik Nijkamp, Bo Pang, Yingbo Zhou, Caiming Xiong:
BigIssue: A Realistic Bug Localization Benchmark. CoRR abs/2207.10739 (2022) - [i167]Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong:
Generating Negative Samples for Sequential Recommendation. CoRR abs/2208.03645 (2022) - [i166]Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. CoRR abs/2209.00840 (2022) - [i165]Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Binding Language Models in Symbolic Languages. CoRR abs/2210.02875 (2022) - [i164]Lifu Tu, Caiming Xiong, Yingbo Zhou:
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. CoRR abs/2210.12360 (2022) - [i163]Xiangyu Peng, Chen Xing, Prafulla Kumar Choubey, Chien-Sheng Wu, Caiming Xiong:
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning. CoRR abs/2210.12587 (2022) - [i162]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong:
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage. CoRR abs/2211.05007 (2022) - [i161]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. CoRR abs/2211.05165 (2022) - [i160]Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong:
Improving Factual Consistency in Summarization with Compression-Based Post-Editing. CoRR abs/2211.06196 (2022) - [i159]Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi:
SPE: Symmetrical Prompt Enhancement for Fact Probing. CoRR abs/2211.07078 (2022) - [i158]Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
Best-k Search Algorithm for Neural Text Generation. CoRR abs/2211.11924 (2022) - [i157]Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding. CoRR abs/2212.05171 (2022) - [i156]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. CoRR abs/2212.07981 (2022) - [i155]Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. CoRR abs/2212.09877 (2022) - 2021
- [j7]Zuxuan Wu, Hengduo Li, Yingbin Zheng, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
A Coarse-to-Fine Framework for Resource Efficient Video Recognition. Int. J. Comput. Vis. 129(11): 2965-2977 (2021) - [j6]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. Trans. Assoc. Comput. Linguistics 9: 391-409 (2021) - [c128]Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio:
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. AAAI 2021: 7002-7010 - [c127]Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong:
Unsupervised Out-of-Domain Detection via Pre-trained Transformers. ACL/IJCNLP (1) 2021: 1052-1061 - [c126]Wenpeng Yin, Huan Wang, Jin Qu, Caiming Xiong:
BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch. ACL/IJCNLP (Findings) 2021: 4908-4912 - [c125]Wenpeng Yin, Dragomir R. Radev, Caiming Xiong:
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. ACL/IJCNLP (Findings) 2021: 4913-4922 - [c124]Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong:
Controllable Abstractive Dialogue Summarization with Sketch Supervision. ACL/IJCNLP (Findings) 2021: 5108-5122 - [c123]Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. AIES 2021: 884-894 - [c122]Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajärvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi:
On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation. CIKM 2021: 4302-4311 - [c121]Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong:
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CVPR 2021: 1915-1923 - [c120]Hanqing Wang, Wenguan Wang, Wei Liang, Caiming Xiong, Jianbing Shen:
Structured Scene Memory for Vision-Language Navigation. CVPR 2021: 8455-8464 - [c119]Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl:
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. EACL 2021: 1754-1761 - [c118]Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu:
Dense Hierarchical Retrieval for Open-domain Question Answering. EMNLP (Findings) 2021: 188-200 - [c117]Tong Niu, Semih Yavuz, Yingbo Zhou, Nitish Shirish Keskar, Huan Wang, Caiming Xiong:
Unsupervised Paraphrasing with Pretrained Language Models. EMNLP (1) 2021: 5136-5150 - [c116]Han Guo, Nazneen Rajani, Peter Hase, Mohit Bansal, Caiming Xiong:
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. EMNLP (1) 2021: 10333-10350 - [c115]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. ICCV 2021: 9455-9464 - [c114]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
Learning from Noisy Data with Robust Representation Learning. ICCV 2021: 9465-9474 - [c113]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
MoPro: Webly Supervised Learning with Momentum Prototypes. ICLR 2021 - [c112]Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi:
Prototypical Contrastive Learning of Unsupervised Representations. ICLR 2021 - [c111]Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong:
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. ICLR 2021 - [c110]Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong:
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. ICLR 2021 - [c109]Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong:
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. ICLR 2021 - [c108]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. ICLR 2021 - [c107]Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong:
How Important is the Train-Validation Split in Meta-Learning? ICML 2021: 543-553 - [c106]Yu Bai, Song Mei, Huan Wang, Caiming Xiong:
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. ICML 2021: 566-576 - [c105]Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras:
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. ICML 2021: 4772-4784 - [c104]Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi:
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition. Interspeech 2021: 2451-2455 - [c103]Linyong Nan, Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
DART: Open-Domain Structured Data Record to Text Generation. NAACL-HLT 2021: 432-447 - [c102]Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong:
Learning to Synthesize Data for Semantic Parsing. NAACL-HLT 2021: 2760-2766 - [c101]Erik Nijkamp, Bo Pang, Ying Nian Wu, Caiming Xiong:
SCRIPT: Self-Critic PreTraining of Transformers. NAACL-HLT 2021: 5196-5202 - [c100]Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi:
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. NeurIPS 2021: 6183-6197 - [c99]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS 2021: 9367-9377 - [c98]Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Gotmare, Shafiq R. Joty, Caiming Xiong, Steven Chu-Hong Hoi:
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. NeurIPS 2021: 9694-9705 - [c97]