Papers
Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker
Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji et al.
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
Zhimeng (Stephen) Jiang, Xiaotian Han, Hongye Jin et al.
ChatGPT-Powered Hierarchical Comparisons for Image Classification
Zhiyuan Ren, Yiyang Su, Xiaoming Liu
Chatting Makes Perfect: Chat-based Image Retrieval
Matan Levy, Rami Ben-Ari, Nir Darshan et al.
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Gen Luo, Yiyi Zhou, Tianhe Ren et al.
Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models
Deepak Narayanan, Keshav Santhanam, Peter Henderson et al.
ChessGPT: Bridging Policy Learning and Language Modeling
Xidong Feng, Yicheng Luo, Ziyan Wang et al.
ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors
Xiaoxuan Ma, Stephan Kaufhold, Jiajun Su et al.
Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
Zijiao Chen, Jiaxin Qing, Juan Helen Zhou
Circuit as Set of Points
Jialv Zou, Xinggang Wang, Jiahao Guo et al.
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita et al.
CLadder: Assessing Causal Reasoning in Language Models
Zhijing Jin, Yuen Chen, Felix Leeb et al.
Class-Conditional Conformal Prediction with Many Classes
Tiffany Ding, Anastasios Angelopoulos, Stephen Bates et al.
Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu et al.
Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark
Xiao-Yang Liu, Zeliang Zhang
Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach
Urte Adomaityte, Gabriele Sicuro, Pierpaolo Vivo
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence
Bong Gyun Kang, HyunGi Kim, Dahuin Jung et al.
Clifford Group Equivariant Neural Networks
David Ruhe, Johannes Brandstetter, Patrick Forré
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
Tung Nguyen, Jason Jewik, Hritik Bansal et al.
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
Julia Kaltenborn, Charlotte Lange, Venkatesh Ramesh et al.
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
Sungduk Yu, Walter Hannah, Liran Peng et al.
CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
Yunyao Mao, Jiajun Deng, Wengang Zhou et al.
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments
Jessica Dai, Paula Gradu, Christopher Harshaw
CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
Xiuzhe Wu, Peng Dai, Weipeng DENG et al.
Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits
Ruo-Chun Tzeng, Po-An Wang, Alexandre Proutiere et al.