Papers
11,955 papers found
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
Sheng Yue, Guanbo Wang, Wei Shao et al.
Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
Jonas Landman, Slimane Thabet, Constantin Dalyac et al.
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
Kangjie Chen, Xiaoxuan Lou, Guowen Xu et al.
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter, Rianne van den Berg, Max Welling et al.
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
Tuomas Oikarinen, Tsui-Wei Weng
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos
Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji et al.
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment
Hongwei Xue, Yuchong Sun, Bei Liu et al.
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
Runjian Chen, Yao Mu, Runsen Xu et al.
Coarticulation of Sibe Vowels and Dorsal Fricatives in Spontaneous Speech: An Acoustic Study
Jared Sharp, Matthew Faytak, Hasutai Fei Xiong Liu
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
Nadezhda Chirkova, Sergey Troshin
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi et al.
CodeT: Code Generation with Generated Tests
Bei Chen, Fengji Zhang, Anh Nguyen et al.
Code Translation with Compiler Representations
Marc Szafraniec, Baptiste Roziere, Hugh James Leather et al.
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Wenyi Hong, Ming Ding, Wendi Zheng et al.
Collaborative Pure Exploration in Kernel Bandit
Yihan Du, Wei Chen, Yuko Kuroki et al.
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
Jianing Zhu, Jiangchao Yao, Tongliang Liu et al.
Combinatorial Pure Exploration of Causal Bandits
Nuoya Xiong, Wei Chen
Competitive Physics Informed Networks
Qi Zeng, Yash Kothari, Spencer H Bryngelson et al.
Complexity-Based Prompting for Multi-step Reasoning
Yao Fu, Hao Peng, Ashish Sabharwal et al.
Composing Ensembles of Pre-trained Models via Iterative Consensus
Shuang Li, Yilun Du, Joshua B. Tenenbaum et al.
Composing Task Knowledge With Modular Successor Feature Approximators
Wilka Torrico Carvalho, Angelos Filos, Richard Lewis et al.
Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions
Mingu Lee, Saurabh Pitre, Tianyu Jiang et al.
Compositionality with Variation Reliably Emerges in Neural Networks
Henry Conklin, Kenny Smith
Compositional Law Parsing with Latent Random Functions
Fan Shi, Bin Li, Xiangyang Xue