Publication Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu NeurIPS 2023 | December 2023 Project
Publication Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi NeurIPS 2023 | December 2023
Publication BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Ben Van Durme NeurIPS 2023 Track on Datasets and Benchmarks. | December 2023
Publication A Unified Model and Dimension for Interactive Estimation Nataly Brukhim, Miro Dudík, Aldo Pacchiano, Robert Schapire NeurIPS 2023 | December 2023
Publication A Theory of Unsupervised Translation Motivated by Understanding Animal Communication Shafi Goldwasser, David Gruber, Adam Tauman Kalai, Orr Paradise NeurIPS 2023 | December 2023
Publication Adversarial Model for Offline Reinforcement Learning Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng NeurIPS 2023 | December 2023
Publication AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao NeurIPS 2023 | December 2023
Publication DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall’s Rank Correlation Kaipeng Zheng, Huishuai Zhang, Weiran Huang NeurIPS 2023 | December 2023
Publication (S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion NeurIPS 2023 | December 2023
Publication TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang NeurIPS 2023 | December 2023