All Papers
34,598 papers found • Page 17 of 692
Conference
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
Dooho Lee, Myeong Kong, Sagad Hamid et al.
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Olawale Salaudeen, Haoran Zhang, Kumail Alhamoud et al.
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
Rogelio A. Mancisidor, Robert Jenssen, Shujian Yu et al.
AGI-Elo: How Far Are We From Mastering A Task?
Shuo Sun, Yimin Zhao, Christina Lee et al.
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
Yunlong Lin, Tian Ye, Sixiang Chen et al.
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
Weigang Lu, Ziyu Guan, Wei Zhao et al.
AgMMU: A Comprehensive Agricultural Multimodal Understanding Benchmark
Aruna Gauba, Irene Pi, Yunze Man et al.
Agnostic Active Learning Is Always Better Than Passive Learning
Steve Hanneke
Agnostic Continuous-Time Online Learning
Pramith Devulapalli, Changlong Wu, Ananth Grama et al.
Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
Bogdan Chornomaz, Yonatan Koren, Shay Moran et al.
AGO: Adaptive Grounding for Open World 3D Occupancy Prediction
Peizheng Li, Shuxiao Ding, You Zhou et al.
A Good Teacher Adapts Their Knowledge for Distillation
Chengyao Qian, Trung Le, Mehrtash Harandi
A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models
Joshua Tian Jin Tee, Hee Suk Yoon, Abu Hanif Muhammad Syarubany et al.
A Gradient Guided Diffusion Framework for Chance Constrained Programming
Boyang Zhang, Zhiguo Wang, Ya-Feng Liu
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
Yinqi Bai, Jie Wang, Lei Chen et al.
Agreement aware and dissimilarity oriented GLOM
Ru Zeng, Yan Song, Yang ZHANG et al.
Agree to Disagree? A Meta-Evaluation of LLM Misgendering
Arjun Subramonian, Vagrant Gautam, Preethi Seshadri et al.
Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence
Yipei Wang, Xiaoqian Wang
AgroBench: Vision-Language Model Benchmark in Agriculture
Risa Shinoda, Nakamasa Inoue, Hirokatsu Kataoka et al.
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Yiheng Xu, Zekun Wang, Junli Wang et al.
AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification
Huy Nguyen, Kien Nguyen Thanh, Akila Pemasiri et al.
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation
Jiafei Duan, Wilbert Pumacay, Nishanth Kumar et al.
AHa-Bench: Benchmarking Audio Hallucinations in Large Audio-Language Models
Xize Cheng, Dongjie Fu, Chenyuhao Wen et al.
A Handheld Stiffness Display with a Programmable Spring and Electrostatic Clutches for Haptic Interaction in Virtual Reality
Ke Shi, Quan Xiong, Maozeng Zhang et al.
Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
Aiden Chang, Celso de Melo, Stephanie Lukin
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model
Wenlun Zhang, Yunshan Zhong, Shimpei Ando et al.
A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention
Qiyu Xu, Zhanxuan Hu, Yu Duan et al.
A Hierarchy of Graphical Models for Counterfactual Inferences
Hongshuo Yang, Elias Bareinboim
A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
Qingyue Zhang, Haohao Fu, Guanbo Huang et al.
A Hitchhiker's Guide to Scaling Law Estimation
Leshem Choshen, Yang Zhang, Jacob Andreas
A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering
Zheming Xu, He Liu, Congyan Lang et al.
A Hyperdimensional One Place Signature to Represent Them All: Stackable Descriptors For Visual Place Recognition
Connor Malone, Somayeh Hussaini, Tobias Fischer et al.
AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks
Van Nguyen, Tingmin Wu, Xingliang YUAN et al.
AIA: Autoregression-Based Injection Attacks Against Text2SQL Models
Deyin Li, Xiang Ling, Changjiang Li et al.
AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
Ximing Lu, Melanie Sclar, Skyler Hallinan et al.
AIComposer: Any Style and Content Image Composition via Feature Integration
Haowen Li, Zhenfeng Fan, Zhang Wen et al.
AID: Adapting Image2Video Diffusion Models for Instruction-guided Video Prediction
Zhen Xing, Qi Dai, Zejia Weng et al.
AI Debate Aids Assessment of Controversial Claims
Salman Rahman, Sheriff Issaka, Ashima Suvarna et al.
AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
Xinbiao Wang, Yuxuan Du, Zihan Lou et al.
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
Li Lin, Santosh Santosh, Mingyang Wu et al.
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
Tianyu Zhang, Andrew Williams, Phillip Wozny et al.
AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation
Haojin Li, Heng Li, Jianyu Chen et al.
AI-generated Image Quality Assessment in Visual Communication
Yu Tian, Yixuan Li, Baoliang Chen et al.
AI-Generated Video Detection via Perceptual Straightening
Christian Internò, Robert Geirhos, Markus Olhofer et al.
AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models
Ziyin Zhou, Yunpeng Luo, Yuanchen Wu et al.
AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM
Wang Jiarui, Huiyu Duan, Guangtao Zhai et al.
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning
Yiwu Zhong, Zhuoming Liu, Yin Li et al.
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
Teng Li, Xingjun Ma, Yu-Gang Jiang
AIM: Amending Inherent Interpretability via Self-Supervised Masking
Eyad Alshami, Shashank Agnihotri, Bernt Schiele et al.
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
Zengqun Zhao, Ziquan Liu, Yu Cao et al.