2025 Papers
21,856 papers found • Page 6 of 438
Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching
Zhao Zhou, Yiqun Wang, Weizhong Zhang et al.
Achieving Lightweight Super-Resolution for Real-Time Computer Graphics
Yu Wen, Chen Zhang, Chenhao Xie et al.
Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks
Liyuan Liang, Xinyi Chen, Gan Luo et al.
Achieving Maximin Share and EFX/EF1 Guarantees Simultaneously
Hannaneh Akrami, Nidhi Rathi
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
Haoran Chen, Ping Wang, Zihan Zhou et al.
Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement
Yulin He, Wei Chen, Siqi Wang et al.
Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
Tianyi Chen, Pengxiao Lin, Zhiwei Wang et al.
A Circular Argument: Does RoPE need to be Equivariant for Vision?
Chase van de Geijn, Timo Lüddecke, Polina Turishcheva et al.
Acknowledging Focus Ambiguity in Visual Questions
Chongyan Chen, Yu-Yun Tseng, Zhuoheng Li et al.
ACL: Activating Capability of Linear Attention for Image Restoration
Yubin Gu, Yuan Meng, Jiayi Ji et al.
A Classification View on Meta Learning Bandits
Mirco Mutti, Jeongyeol Kwon, Shie Mannor et al.
A Clean Slate for Offline Reinforcement Learning
Matthew T Jackson, Uljad Berdica, Jarek Liesen et al.
A CLIP-Powered Framework for Robust and Generalizable Data Selection
Suorong Yang, Peng Ye, Wanli Ouyang et al.
AC-LoRA: (Almost) Training-Free Access Control Aware Multi-Modal LLMs
Lara Magdalena Lazier, Aritra Dhar, Vasilije Stambolic et al.
A Closed-Form Solution for Fast and Reliable Adaptive Testing
Yan Zhuang, Chenye Ke, Zirui Liu et al.
A Closer Look at Backdoor Attacks on CLIP
Shuo He, Zhifang Zhang, Feng Liu et al.
A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
Xinsong Ma, Jie Wu, Weiwei Liu
A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
Jiaming Zhuo, Ziyi Ma, Yintong Lu et al.
A Closer Look at Machine Unlearning for Large Language Models
Xiaojian Yuan, Tianyu Pang, Chao Du et al.
A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective
Lianghe Shi, Meng Wu, Huijie Zhang et al.
A Closer Look at Multimodal Representation Collapse
Abhra Chaudhuri, Anjan Dutta, Tu Bui et al.
A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression
Giuseppe Castiglione, Christopher L Buckley, Ivor Simpson
A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
Han-Jia Ye, Si-Yang Liu, Wei-Lun (Harry) Chao
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
Kai Wang, Mingjia Shi, YuKun Zhou et al.
A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
Yu Chen, Nathalia Céspedes, Payam Barnaghi
A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study
Yuanchao Dai, Zhengzhang Hou, Changchun Li et al.
A CLT for Polynomial GNNs on Community-Based Graphs
Luciano Vinas, Arash Amini
A Coefficient Makes SVRG Effective
Yida Yin, Zhiqiu Xu, Zhiyuan Li et al.
A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
Varshita Kolipaka, Akshit Sinha, Debangan Mishra et al.
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
Hui Yuan, Yifan Zeng, Yue Wu et al.
A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging
Ruoran Li, Runzhao Yang, Wenxin Xiang et al.
A Compact Model for Mathematics Problem Representations Distilled from BERT
Hao Ming, Xinguo Yu, Xiaotian Cheng et al.
A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic
Fuqi Jia, Yuhang Dong, Rui Han et al.
A Comprehensive Analysis of the Influence of Cognitive Load on Physiological Signals in Virtual Reality
Jorge Pina, Edurne Bernal-Berdun, Daniel Martin et al.
A Comprehensive Evaluation on Event Reasoning of Large Language Models
Zhengwei Tao, Zhi Jin, Yifan Zhang et al.
A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
Ruinan Jin, Xiao Li, Yaoliang Yu et al.
A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Minjie Zhu, Yichen Zhu, Ning Liu et al.
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation
Andrew Z Wang, Songwei Ge, Tero Karras et al.
A compressive-expressive communication framework for compositional representations
Rafael Elberg, Felipe del Río, Mircea Petrache et al.
A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
Atsunobu Kotani, Yi-Ren Ng
A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
Kihyuk Hong, Ambuj Tewari
A Computationally Grounded Framework for Cognitive Attitudes
Tiago de Lima, Emiliano Lorini, Elise Perrotin et al.
A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems
Gokul Rajaraman, Debasish Chatterjee
A Conditional Independence Test in the Presence of Discretization
Boyang Sun, Yu Yao, Guang-Yuan Hao et al.
A Conditional Probability Framework for Compositional Zero-shot Learning
Peng Wu, Qiuxia Lai, Hao Fang et al.
A Constrained Optimization Approach for Gaussian Splatting from Coarsely-posed Images and Noisy Lidar Point Clouds
Jizong Peng, Tze Ho Elden Tse, Kai Xu et al.
A Continuous-time Tractable Model for Present-biased Agents
Yasunori Akagi, Hideaki Kim, Takeshi Kurashima
A Controllable Examination for Long-Context Language Models
Yijun Yang, Zeyu Huang, Wenhao Zhu et al.
A Counterfactual Semantics for Hybrid Dynamical Systems
Andy Zane, Dmitry Batenkov, Rafal Urbaniak et al.
ACPBench: Reasoning About Action, Change, and Planning
Harsha Kokel, Michael Katz, Kavitha Srinivas et al.