Papers
11,015 papers found
Characterizing intrinsic compositionality in transformers with Tree Projections
Shikhar Murty, Pratyusha Sharma, Jacob Andreas et al.
Characterizing the Influence of Graph Elements
Zizhang Chen, Peizhao Li, Hongfu Liu et al.
Characterizing the spectrum of the NTK via a power series expansion
Michael Murray, Hui Jin, Benjamin Bowman et al.
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
Chunhui Zhang, Yijun Tian, Mingxuan Ju et al.
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
Yat Long Lo, Christian Schroeder de Witt, Samuel Sokota et al.
ChiroDiff: Modelling chirographic data with Diffusion Models
Ayan Das, Yongxin Yang, Timothy Hospedales et al.
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
Ruslan Khalitov, Tong Yu, Lei Cheng et al.
Choreographer: Learning and Adapting Skills in Imagination
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt et al.
CircNet: Meshing 3D Point Clouds with Circumcenter Detection
Huan Lei, Ruitao Leng, Liang Zheng et al.
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
Zehao Dong, Weidong Cao, Muhan Zhang et al.
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.
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.