Papers
11,015 papers found
Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation
Insoo Kim, Hana Lee, Hyong-Euk Lee et al.
Controllable Context Sensitivity and the Knob Behind It
Julian Minder, Kevin Du, Niklas Stoehr et al.
Controllable Generation via Locally Constrained Resampling
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements
Jingyu Zhang, Ahmed Elgohary, Ahmed Magooda et al.
Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control
Xianghui Ze, Zhenbo Song, Qiwei Wang et al.
Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization
XiaoHua Feng, Yuyuan Li, Chaochao Chen et al.
Controlled LLM Decoding via Discrete Auto-regressive Biasing
Patrick Pynadath, Ruqi Zhang
Controlling Language and Diffusion Models by Transporting Activations
Pau Rodriguez, Arno Blaas, Michal Klein et al.
Controlling Space and Time with Diffusion Models
Daniel Watson, Saurabh Saxena, Lala Li et al.
Control-oriented Clustering of Visual Latent Representation
Han Qi, Haocheng Yin, Heng Yang
ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
Hojae Han, seung-won hwang, Rajhans Samdani et al.
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
Hyunji Jung, Hanseul Cho, Chulhee Yun
Convergence of Distributed Adaptive Optimization with Local Updates
Ziheng Cheng, Margalit Glasgow
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang, Zixiang Chen, Quanquan Gu
Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness
Eli Chien, Pan Li
Convex Formulations for Training Two-Layer ReLU Neural Networks
Karthik Prakhya, Tolga Birdal, Alp Yurtsever
COPER: Correlation-based Permutations for Multi-View Clustering
Ran Eisenberg, Jonathan Svirsky, Ofir Lindenbaum
Copyright-Protected Language Generation via Adaptive Model Fusion
Javier Abad, Konstantin Donhauser, Francesco Pinto et al.
Coreset Selection via Reducible Loss in Continual Learning
Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi et al.
Coreset Spectral Clustering
Ben Jourdan, Gregory Schwartzman, Peter Macgregor et al.
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
Tarun Suresh, Revanth Gangi Reddy, Yifei Xu et al.
Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization
Audrey Huang, Wenhao Zhan, Tengyang Xie et al.
Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking
Cassidy Laidlaw, Shivam Singhal, Anca Dragan
Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
SUBBA REDDY OOTA, Akshett Rai Jindal, Ishani Mondal et al.
Correlation and Navigation in the Vocabulary Key Representation Space of Language Models
Letian Peng, Chenyang An, Jingbo Shang