Bingbin Liu - RankMe

29 papers A* 9A 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adam or Gauss-Newton? A Comparative Study In Terms of Basis Alignment and SGD Noise. CoRR Bingbin Liu, Rachit Bansal, Depen Morwani, Nikhil Vyas, David Alvarez-Melis, Sham M. Kakade
2025	J	`jnl`	In Good GRACEs: Principled Teacher Selection for Knowledge Distillation. CoRR Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Sham M. Kakade, Surbhi Goel
2025	A*	`conf`	Progressive distillation induces an implicit curriculum. ICLR Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Andrej Risteski, Surbhi Goel
2024	J	`jnl`	Improving Instructional Materials with Large Language Models. XRDS Bingbin Liu, Joy He-Yueya
2024	J	`jnl`	Large Language Models in Education Embracing Opportunities, Confronting Challenges, and Shaping the Next Chapter Together. XRDS Bingbin Liu
2024	J	`jnl`	Progressive distillation induces an implicit curriculum. CoRR Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Andrej Risteski, Surbhi Goel
2024	A*	`conf`	Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression. ICLR Runtian Zhai, Bingbin Liu, Andrej Risteski, J. Zico Kolter, Pradeep Kumar Ravikumar
2023	A*	`conf`	Exposing Attention Glitches with Flip-Flop Language Modeling. NeurIPS Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
2023	J	`jnl`	Exposing Attention Glitches with Flip-Flop Language Modeling. CoRR Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
2023	J	`jnl`	TinyGSM: achieving >80% on GSM8k with small language models. CoRR Bingbin Liu, Sébastien Bubeck, Ronen Eldan, Janardhan Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, Yi Zhang
2023	A*	`conf`	Transformers Learn Shortcuts to Automata. ICLR Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
2023	A*	`conf`	Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars. NeurIPS Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski
2023	J	`jnl`	Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars. CoRR Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski
2023	J	`jnl`	Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation. CoRR Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar
2022	A*	`conf`	Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. ICLR Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski
2022	A*	`conf`	Masked Prediction: A Parameter Identifiability View. NeurIPS Bingbin Liu, Daniel J. Hsu, Pradeep Ravikumar, Andrej Risteski
2022	J	`jnl`	Masked prediction tasks: a parameter identifiability view. CoRR Bingbin Liu, Daniel Hsu, Pradeep Ravikumar, Andrej Risteski
2022	J	`jnl`	Transformers Learn Shortcuts to Automata. CoRR Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
2021	J	`jnl`	Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. CoRR Bingbin Liu, Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
2021	A	`conf`	Contrastive learning of strong-mixing continuous-time stochastic processes. AISTATS Bingbin Liu, Pradeep Ravikumar, Andrej Risteski
2021	J	`jnl`	Contrastive learning of strong-mixing continuous-time stochastic processes. CoRR Bingbin Liu, Pradeep Ravikumar, Andrej Risteski
2020	A*	`conf`	Generalized Boosting. NeurIPS Arun Sai Suggala, Bingbin Liu, Pradeep Ravikumar
2020	J	`jnl`	Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. CoRR Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
2020	J	`jnl`	Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. IEEE Robotics Autom. Lett. Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
2019	J	`jnl`	A computer vision system for deep learning-based detection of patient mobilization activities in the ICU. npj Digit. Medicine Serena Yeung, Francesca Rinaldo, Jeffrey Jopling, Bingbin Liu, Rishab Mehra, N. Lance Downing, Michelle Guo, Gabriel M. Bianconi, Alexandre Alahi, Julia Lee, Brandi Campbell, Kayla Deru, William Beninati, Li Fei-Fei, Arnold Milstein
2018	—	`conf`	3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities. MLHC Bingbin Liu, Michelle Guo, Edward Chou, Rishab Mehra, Serena Yeung, N. Lance Downing, Francesca Salipur, Jeffrey Jopling, Brandi Campbell, Kayla Deru, William Beninati, Arnold Milstein, Li Fei-Fei
2018	A*	`conf`	Learning to Decompose and Disentangle Representations for Video Prediction. NeurIPS Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles
2018	J	`jnl`	Learning to Decompose and Disentangle Representations for Video Prediction. CoRR Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles
2018	—	`conf`	Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos. ECCV (3) Bingbin Liu, Serena Yeung, Edward Chou, De-An Huang, Li Fei-Fei, Juan Carlos Niebles