All Papers

34,598 papers found • Page 25 of 692

An Information-Theoretic Regularizer for Lossy Neural Image Compression

ZHANG YINGWEN, Meng Wang, Xihua Sheng et al.

ICCV 2025arXiv:2411.16727

An Instrumental Value for Data Production and its Application to Data Pricing

Rui Ai, Boxiang Lyu, Zhaoran Wang et al.

ICML 2025arXiv:2412.18140
2
citations

An Intelligent Agentic System for Complex Image Restoration Problems

Kaiwen Zhu, Jinjin Gu, Zhiyuan You et al.

ICLR 2025arXiv:2410.17809
26
citations

An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks

Valentyn Boreiko, Alexander Panfilov, Václav Voráček et al.

ICML 2025arXiv:2410.16222
9
citations

An Inversion-based Measure of Memorization for Diffusion Models

Zhe Ma, Qingming Li, Xuhong Zhang et al.

ICCV 2025arXiv:2405.05846
2
citations

An Investigation of Memorization Risk in Healthcare Foundation Models

Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour et al.

NEURIPS 2025arXiv:2510.12950
1
citations

AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction

Jingnan Gao, Zhuo Chen, Xiaokang Yang et al.

ICLR 2025arXiv:2410.01202
3
citations

An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control

Aosong Feng, Weikang Qiu, Jinbin Bai et al.

AAAI 2025paperarXiv:2403.04880
9
citations

An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise

Johanna Düngler, Amartya Sanyal

NEURIPS 2025arXiv:2508.10879

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems

Haoxiang Tian, Xingshuo Han, Guoquan Wu et al.

AAAI 2025paperarXiv:2501.00829
4
citations

Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions

Dongze Wu, Yao Xie

ICML 2025arXiv:2409.20547
5
citations

ANNEXE: Unified Analyzing, Answering, and Pixel Grounding for Egocentric Interaction

YUEJIAO SU, Yi Wang, Qiongyang Hu et al.

CVPR 2025arXiv:2504.01472
5
citations

AnnofreeOD: Detecting All Classes at Low Frame Rates Without Human Annotations

Boyi Sun, Yuhang Liu, Houxin He et al.

ICCV 2025

Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation

Suruchi Kumari, Pravendra Singh

CVPR 2025highlight
3
citations

A No Free Lunch Theorem for Human-AI Collaboration

Kenny Peng, Nikhil Garg, Jon Kleinberg

AAAI 2025paperarXiv:2411.15230
5
citations

AnoLLM: Large Language Models for Tabular Anomaly Detection

Che-Ping Tsai, Ganyu Teng, Phillip Wallis et al.

ICLR 2025
7
citations

AnomalyCoT: A Multi-Scenario Chain-of-Thought Dataset for Multimodal Large Language Models

Jiaxi Cheng, Yuliang Xu, Shoupeng Wang et al.

NEURIPS 2025

Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres

Walid Durani, Collin Leiber, Khalid Durani et al.

NEURIPS 2025

Anomaly Detection of Integrated Circuits Package Substrates Using the Large Vision Model SAIC: Dataset Construction, Methodology, and Application

Ruiyun Yu, Bingyang Guo, Haoyuan Li

ICCV 2025

AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios

Ziming Huang, Xurui Li, Haotian Liu et al.

CVPR 2025arXiv:2410.14379
8
citations

Anomize: Better Open Vocabulary Video Anomaly Detection

Fei Li, Wenxuan Liu, Jingjing Chen et al.

CVPR 2025arXiv:2503.18094
5
citations

A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations

Junwei Su, Chuan Wu

ICML 2025arXiv:2508.14351

A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation

Huimin Zeng, Xiaojie Wang, Anoop Jain et al.

ICLR 2025
2
citations

A Non-isotropic Time Series Diffusion Model with Moving Average Transitions

Chenxi Wang, Linxiao Yang, Zhixian Wang et al.

ICML 2025

An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions

Yuhan Ye, Ying Cui, Jingyi Wang

ICML 2025oral

An Online Learning Approach to Prompt-based Selection of Generative Models and LLMs

Xiaoyan Hu, Ho-fung Leung, Farzan Farnia

ICML 2025

An Online Learning Theory of Trading-Volume Maximization

Tommaso Cesari, Roberto Colomboni

ICLR 2025
4
citations

An Open-Ended Learning Framework for Opponent Modeling

Yuheng Jing, Kai Li, Bingyun Liu et al.

AAAI 2025paper

An OpenMind for 3D Medical Vision Self-supervised Learning

Tassilo Wald, Constantin Ulrich, Jonathan Suprijadi et al.

ICCV 2025arXiv:2412.17041
12
citations

An Open Testbed for Mixed Reality Precise Rotation Guidance: Comparative case study of Arrow, Gestalt and Magnifier Cues

Mine Dastan, Fabio Vangi, Francesco Musolino et al.

ISMAR 2025paper

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning

Haoran Xu, Shuozhe Li, Harshit Sikchi et al.

ICLR 2025arXiv:2504.13368
3
citations

An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning

Fengjiiao Gong, Angxiao Yue, Hongteng Xu

AAAI 2025paper

An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints

Jiahui Zhu, Kihyun Yu, Dabeen Lee et al.

ICML 2025arXiv:2505.21841
1
citations

An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds

Siyu Chen, Theodor Misiakiewicz, Ilias Zadik et al.

NEURIPS 2025oralarXiv:2506.06259

A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators

Han Zhou, dr. Jordy Van Landeghem, Teodora Popordanoska et al.

ICML 2025arXiv:2410.15361
5
citations

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset

Junhuan Yang, Yuzhou Zhang, Yi Sheng et al.

AAAI 2025paperarXiv:2501.00941
4
citations

A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits

Guo Zeng, Jean Honorio

NEURIPS 2025

Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions

Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov et al.

ICLR 2025arXiv:2407.15018
27
citations

Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases

Gianluca Cima, Marco Console, Roberto Maria Delfino et al.

AAAI 2025paper

Anti-Aliased 2D Gaussian Splatting

Mae Younes, Adnane Boukhayma

NEURIPS 2025arXiv:2506.11252
3
citations

Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models

Li Zheng, Liangbin Xie, Jiantao Zhou et al.

AAAI 2025paperarXiv:2503.05595
2
citations

Antidistillation Sampling

Yash Savani, Asher Trockman, Zhili Feng et al.

NEURIPS 2025arXiv:2504.13146
10
citations

Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception

Yuanchen Wu, Lu Zhang, Hang Yao et al.

CVPR 2025arXiv:2504.20468
4
citations

Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi et al.

ICML 2025
48
citations

Anti-Exposure Bias in Diffusion Models

Junyu Zhang, Daochang Liu, Eunbyung Park et al.

ICLR 2025
5
citations

Anti-Tamper Protection for Unauthorized Individual Image Generation

Zelin Li, Ruohan Zong, Yifan Liu et al.

ICCV 2025arXiv:2508.06325

An Undetectable Watermark for Generative Image Models

Samuel Gunn, Xuandong Zhao, Dawn Song

ICLR 2025arXiv:2410.07369
52
citations

Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks

Hailong Guo, Bohan Zeng, Yiren Song et al.

ICCV 2025arXiv:2501.15891
32
citations

Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking

Phuc Nguyen, Minh Luu, Anh Tran et al.

CVPR 2025arXiv:2411.16183
5
citations

any4: Learned 4-bit Numeric Representation for LLMs

Mostafa Elhoushi, Jeff Johnson

ICML 2025arXiv:2507.04610
5
citations