Bingbin Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Temporal Coherence

Language Modeling

Stochastic Process

Improvements In Retrieval Effectiveness

Top Venues

IEEE Robotics Autom. Lett.

Publications

Runtian Zhai, Bingbin Liu, Andrej Risteski, J. Zico Kolter, Pradeep Kumar Ravikumar
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression. ICLR (2024)
Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars. NeurIPS (2023)
Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
Exposing Attention Glitches with Flip-Flop Language Modeling. NeurIPS (2023)
Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
Exposing Attention Glitches with Flip-Flop Language Modeling. CoRR (2023)
Bingbin Liu, Sébastien Bubeck, Ronen Eldan, Janardhan Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, Yi Zhang
TinyGSM: achieving >80% on GSM8k with small language models. CoRR (2023)
Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
Transformers Learn Shortcuts to Automata. ICLR (2023)
Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation. CoRR (2023)
Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars. CoRR (2023)
Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. ICLR (2022)
Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
Transformers Learn Shortcuts to Automata. CoRR (2022)
Bingbin Liu, Daniel Hsu, Pradeep Ravikumar, Andrej Risteski
Masked prediction tasks: a parameter identifiability view. CoRR (2022)
Bingbin Liu, Daniel J. Hsu, Pradeep Ravikumar, Andrej Risteski
Masked Prediction: A Parameter Identifiability View. NeurIPS (2022)
Bingbin Liu, Pradeep Ravikumar, Andrej Risteski
Contrastive learning of strong-mixing continuous-time stochastic processes. CoRR (2021)
Bingbin Liu, Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. CoRR (2021)
Bingbin Liu, Pradeep Ravikumar, Andrej Risteski
Contrastive learning of strong-mixing continuous-time stochastic processes. AISTATS (2021)
Arun Sai Suggala, Bingbin Liu, Pradeep Ravikumar
Generalized Boosting. NeurIPS (2020)
Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. IEEE Robotics Autom. Lett. 5 (2) (2020)
Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. CoRR (2020)
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
A computer vision system for deep learning-based detection of patient mobilization activities in the ICU. npj Digit. Medicine 2 (2019)
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
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities. MLHC (2018)
Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles
Learning to Decompose and Disentangle Representations for Video Prediction. CoRR (2018)
Jun-Ting Hsieh, Bingbin Liu, De-An Huang, Li Fei-Fei, Juan Carlos Niebles
Learning to Decompose and Disentangle Representations for Video Prediction. NeurIPS (2018)
Bingbin Liu, Serena Yeung, Edward Chou, De-An Huang, Li Fei-Fei, Juan Carlos Niebles
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos. ECCV (3) (2018)