All Papers
34,598 papers found • Page 69 of 692
Conference
Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness
Michael Crawshaw, Mingrui Liu
Complexity Scaling Laws for Neural Models using Combinatorial Optimization
Lowell Weissman, Michael Krumdick, A. Abbott
Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation
Renhao Lu
Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
Xiaomeng Xu, Yifan Hou, Zeyi Liu et al.
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
Kunlun Xu, Xu Zou, Gang Hua et al.
ComPO: Preference Alignment via Comparison Oracles
Peter Chen, Xi Chen, Wotao Yin et al.
Composable Interventions for Language Models
Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang et al.
Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling
Zhejing Hu, Yan Liu, Gong Chen et al.
Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets
Yuandong Tian
Composing Linear Layers from Irreducibles
Travis Pence, Daisuke Yamada, Vikas Singh
Composing Parts for Expressive Object Generation
Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni et al.
Composing Unbalanced Flows for Flexible Docking and Relaxation
Gabriele Corso, Vignesh Ram Somnath, Noah Getz et al.
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
Lingkai Kong, Haichuan Wang, Tonghan Wang et al.
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering
Xingrui Wang, Wufei Ma, Angtian Wang et al.
Compositional Caching for Training-free Open-vocabulary Attribute Detection
Marco Garosi, Alessandro Conti, Gaowen Liu et al.
Compositional Causal Reasoning Evaluation in Language Models
Jacqueline Maasch, Alihan Hüyük, Xinnuo Xu et al.
Compositional Condition Question Answering in Tabular Understanding
Jun-Peng Jiang, Tao Zhou, De-Chuan Zhan et al.
Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models
Samuel Lavoie, Michael Noukhovitch, Aaron Courville
Compositional Entailment Learning for Hyperbolic Vision-Language Models
Avik Pal, Max van Spengler, Guido D'Amely di Melendugno et al.
Compositional Flows for 3D Molecule and Synthesis Pathway Co-design
Tony Shen, Seonghwan Seo, Ross Irwin et al.
Compositional Generalization via Forced Rendering of Disentangled Latents
Qiyao Liang, Daoyuan Qian, Liu Ziyin et al.
Compositional Monte Carlo Tree Diffusion for Extendable Planning
Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn
Compositional Neural Network Verification via Assume-Guarantee Reasoning
Hai Duong, David Shriver, ThanhVu Nguyen et al.
Compositional Reasoning with Transformers, RNNs, and Chain of Thought
Gilad Yehudai, Noah Amsel, Joan Bruna
Compositional Risk Minimization
Divyat Mahajan, Mohammad Pezeshki, Charles Arnal et al.
Compositional Scene Understanding through Inverse Generative Modeling
Yanbo Wang, Justin Dauwels, Yilun Du
Compositional simulation-based inference for time series
Manuel Gloeckler, Shoji Toyota, Kenji Fukumizu et al.
Compositional Targeted Multi-Label Universal Perturbations
Hassan Mahmood, Ehsan Elhamifar
Composition and Alignment of Diffusion Models using Constrained Learning
Shervin Khalafi, Ignacio Hounie, Dongsheng Ding et al.
ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing
Yaohui Ma, Xiaopeng Hong, Shizhou Zhang et al.
Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion models
Die Chen, Zhiwen Li, Cen Chen et al.
Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers
Jung-Ho Hong, Ho-Joong Kim, Kyu-Sung Jeon et al.
Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection
Yitong Chen, Wenhao Yao, Lingchen Meng et al.
Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization
Junying Wang, Jingyuan Liu, Xin Sun et al.
Compress & Cache: Vision token compression for efficient generation and retrieval
Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
Compressed and distributed least-squares regression: convergence rates with applications to federated learning
Constantin Philippenko, Aymeric Dieuleveut
Compressed and Smooth Latent Space for Text Diffusion Modeling
Viacheslav Meshchaninov, Egor Chimbulatov, Alexander Shabalin et al.
Compressed Image Generation with Denoising Diffusion Codebook Models
Guy Ohayon, Hila Manor, Tomer Michaeli et al.
Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers
Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki et al.
Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame
Luyang Tang, Jiayu Yang, Rui Peng et al.
Compressing tree ensembles through Level-wise Optimization and Pruning
Laurens Devos, Timo Martens, Deniz Oruc et al.
Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal
Jinpei Guo, Zheng Chen, Wenbo Li et al.
Compression of 3D Gaussian Splatting with Optimized Feature Planes and Standard Video Codecs
Soonbin Lee, Fangwen Shu, Yago Sanchez de la Fuente et al.
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
David Heurtel-Depeiges, Anian Ruoss, Joel Veness et al.
Compress Large Language Models via Collaboration Between Learning and Matrix Approximation
Yuesen Liao, Zhiwei Li, Binrui Wu et al.
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
Rickard Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj et al.
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma et al.
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning
Kun Wei, Zhe Xu, Cheng Deng
CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation
Zixin Zhu, Kevin Duarte, Mamshad Nayeem Rizve et al.
Computable universal online learning
Dariusz Kalociński, Tomasz Steifer