Publication Ignorance is Bliss: Robust Control via Information Gating Manan Tomar, Riashat Islam, Sergey Levine, Philip Bachman NeurIPS 2023 | October 2023
Publication Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang NeurIPS 2023 | October 2023
Publication Exposing Attention Glitches with Flip-Flop Language Modeling Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang NeurIPS 2023 | October 2023
Publication Efficiently incorporating quintuple interactions into geometric deep learning force fields Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao NeurIPS 2023 | October 2023
Publication DrugCLIP: Contrasive Protein-Molecule Representation Learning for Virtual Screening Bowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan NeurIPS 2023 | October 2023
Publication Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees Sharan Vaswani, Amirreza Kazemi, Reza Babanezhad, Nicolas Le Roux NeurIPS 2023 | October 2023
Publication ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation Chenyang Le, Yao Qian, Long Zhou, Shujie Liu, Michael Zeng, Xuedong Huang NeurIPS 2023 | October 2023
Publication Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes Abhinav Kumar, Amit Deshpande, Amit Sharma NeurIPS 2023 | October 2023
Publication Bayesian Active Causal Discovery with Multi-Fidelity Experiments Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie NeurIPS 2023 | October 2023
Publication Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks Jun Yin, Senzhang Wang, Hao Yang, Chaozhuo Li, Jianxun Lian NeurIPS 2023 | October 2023