Papers
Challenging Common Assumptions in Convex Reinforcement Learning
Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis et al.
Change Event Dataset for Discovery from Spatio-temporal Remote Sensing Imagery
Utkarsh Mall, Bharath Hariharan, Kavita Bala
Change-point Detection for Sparse and Dense Functional Data in General Dimensions
Carlos Misael Madrid Padilla, Daren Wang, Zifeng Zhao et al.
Chaotic Dynamics are Intrinsic to Neural Network Training with SGD
Luis Herrmann, Maximilian Granz, Tim Landgraf
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent
Soon Hoe Lim, Yijun Wan, Umut Simsekli
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models
Maribeth Rauh, John Mellor, Jonathan Uesato et al.
Characterization of Excess Risk for Locally Strongly Convex Population Risk
Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma
Characterizing Datapoints via Second-Split Forgetting
Pratyush Maini, Saurabh Garg, Zachary Lipton et al.
Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski et al.
Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains
Kiarash Shamsi, Friedhelm Victor, Murat Kantarcioglu et al.
Chefs' Random Tables: Non-Trigonometric Random Features
Valerii Likhosherstov, Krzysztof M Choromanski, Kumar Avinava Dubey et al.
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis
Shichong Peng, Seyed Alireza Moazenipourasil, Ke Li
Chromatic Correlation Clustering, Revisited
Qing Xiu, Kai Han, Jing Tang et al.
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang, Polina Kirichenko, Micah Goldblum et al.
Class-Aware Adversarial Transformers for Medical Image Segmentation
Chenyu You, Ruihan Zhao, Fenglin Liu et al.
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization
De Cheng, Yixiong Ning, Nannan Wang et al.
CLEAR: Generative Counterfactual Explanations on Graphs
Jing Ma, Ruocheng Guo, Saumitra Mishra et al.
CLEVRER-Humans: Describing Physical and Causal Events the Human Way
Jiayuan Mao, Xuelin Yang, Xikun Zhang et al.
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
Tejas Srinivasan, Ting-Yun Chang, Leticia Pinto Alva et al.
ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences
Ting-An Chen, De-Nian Yang, Ming-syan Chen
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders
Kevin Frans, Lisa Soros, Olaf Witkowski
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise
Eduard Gorbunov, Marina Danilova, David Dobre et al.
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst, Elisabeth Rumetshofer, Johannes Lehner et al.
Cluster and Aggregate: Face Recognition with Large Probe Set
Minchul Kim, Feng Liu, Anil K Jain et al.
Cluster Randomized Designs for One-Sided Bipartite Experiments
Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie