All Papers
34,598 papers found • Page 35 of 692
Conference
A Unified Framework for Heterogeneous Semi-supervised Learning
Marzi Heidari, Abdullah Alchihabi, Hao Yan et al.
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
Athresh Karanam, Saurabh Mathur, Sahil Sidheekh et al.
A Unified Framework for Industrial Cel-Animation Colorization with Temporal-Structural Awareness
Xiaoyi Feng, Tao Huang, Peng Wang et al.
A Unified Framework for Motion Reasoning and Generation in Human Interaction
Jeongeun Park, Sungjoon Choi, Sangdoo Yun
A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
Tyler Chen, Akshay Seshadri, Mattia Jacopo Villani et al.
A Unified Framework for the Transportability of Population-Level Causal Measures
Ahmed Boughdiri, Clément Berenfeld, Julie Josse et al.
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
Binh Ho, Long Nguyen-Chi, TrungTin Nguyen et al.
A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering under Non-IID Missing Patterns
Xiaorui Jiang, Buyun He, Peng Yuan Zhou et al.
A Unified Image-Dense Annotation Generation Model for Underwater Scenes
Hongkai Lin, Dingkang Liang, Zhenghao Qi et al.
A Unified Interpretation of Training-Time Out-of-Distribution Detection
Xu Cheng, Xin Jiang, Zechao Li
A Unified Latent Schrödinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization
Shilhora Akshay, Niveditha Lakshmi Narasimhan, Jacob George et al.
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation
Feilong Xu, Feiyang Yang, Xiongfei Li et al.
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
Armeet Singh Jatyani, Jiayun Wang, Aditi Chandrashekar et al.
A Unified Model of Direct and Indirect Reciprocity in Multichannel Games
Juan Shi, Zhaoheng Cao, Jinzhuo Liu et al.
A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis
Dongheng Lin, Mengxue Qu, Kunyang Han et al.
A Unified, Resilient, and Explainable Adversarial Patch Detector
Vishesh Kumar, Akshay Agarwal
A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking
Zixiang Zhao, Haowen Bai, Bingxin Ke et al.
A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
WEI-KAI CHANG, Rajiv Khanna
A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO
Xingyu Zhou, Yulian Wu, Francesco Orabona
A Unified Theory of Quantum Neural Network Loss Landscapes
Eric Anschuetz
A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation
Jongha (Jon) Ryu, Abhin Shah, Gregory Wornell
A Unifying Framework for Representation Learning
Shaden Alshammari, John Hershey, Axel Feldmann et al.
A Unifying Information-theoretic Perspective on Evaluating Generative Models
Alexis Fox, Samarth Swarup, Abhijin Adiga
A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning
Zechen Wu, Amy Greenwald, Ronald Parr
A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts
Xuyi He, Yuhui Quan, Ruotao Xu et al.
AuPair: Golden Example Pairs for Code Repair
Aditi Mavalankar, Hassan Mansoor, Zita Marinho et al.
AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting
Chung-Ho Wu, Yang-Jung Chen, Ying-Huan Chen et al.
AURELIA: Test-time Reasoning Distillation in Audio-Visual LLMs
Sanjoy Chowdhury, Hanan Gani, Nishit Anand et al.
AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping
Haonan Dong, Wenhao Zhu, Guojie Song et al.
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Wenhao Chai, Enxin Song, Yilun Du et al.
AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models
Lifeng Huang, Tian Su, Chengying Gao et al.
Authentic 4D Driving Simulation with a Video Generation Model
Lening Wang, Wenzhao Zheng, Dalong Du et al.
AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses
Nicholas Carlini, Edoardo Debenedetti, Javier Rando et al.
AutoAL: Automated Active Learning with Differentiable Query Strategy Search
Yifeng Wang, Xueying Zhan, Siyu Huang
AutoBencher: Towards Declarative Benchmark Construction
XIANG LI, Farzaan Kaiyom, Evan Liu et al.
AutoCATE: End-to-End, Automated Treatment Effect Estimation
Toon Vanderschueren, Tim Verdonck, Mihaela van der Schaar et al.
AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations
Pei Zhou, Ruizhe Liu, Qian Luo et al.
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
Yicheng Chen, Xiangtai Li, Yining Li et al.
AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation
Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan et al.
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Jan Metzen, Piyapat Saranrittichai, Chaithanya Kumar Mummadi
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs
Yi-Ting Shen, Sungmin Eum, Doheon Lee et al.
Auto-Compressing Networks
Evangelos Dorovatas, Georgios Paraskevopoulos, Alexandros Potamianos
Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization
jingfeng Guo, Jian Liu, Jinnan Chen et al.
Auto-Controlled Image Perception in MLLMs via Visual Perception Tokens
Runpeng Yu, Xinyin Ma, Xinchao Wang
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
Fusheng Liu, Qianxiao Li
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
Xiaogeng Liu, Peiran Li, G. Edward Suh et al.
AutoData: A Multi-Agent System for Open Web Data Collection
Tianyi Ma, Yiyue Qian, Zheyuan Zhang et al.
AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise
Dhruv Agarwal, Bodhisattwa Prasad Majumder, Reece Adamson et al.
AutoEdit: Automatic Hyperparameter Tuning for Image Editing
Chau Pham, Quan Dao, Mahesh Bhosale et al.
AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling
Alexander Capstick, Rahul G. Krishnan, Payam Barnaghi