Poster Papers
24,624 papers found • Page 369 of 493
Conference
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
Xiao Wang, Shiao Wang, Chuanming Tang et al.
Event Trojan: Asynchronous Event-based Backdoor Attacks
Ruofei Wang, Qing Guo, Haoliang Li et al.
Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization
Ming-Yang Ho, Che-Ming Wu, Min-Sheng Wu et al.
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting
Jiaxu Wang, Junhao He, Ziyi Zhang et al.
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception
Lei Fan, Mingfu Liang, Yunxuan Li et al.
EvIL: Evolution Strategies for Generalisable Imitation Learning
Silvia Sapora, Gokul Swamy, Christopher Lu et al.
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
Xinyu Hu, Pengfei Tang, Simiao Zuo et al.
Evolution-Inspired Loss Functions for Protein Representation Learning
Chengyue Gong, Adam Klivans, James Loy et al.
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Fei Liu, Tong Xialiang, Mingxuan Yuan et al.
Evolving Subnetwork Training for Large Language Models
hanqi li, Lu Chen, Da Ma et al.
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
Pengyi Li, Yan Zheng, Hongyao Tang et al.
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling
Rui Jiang, Fangwen Tu, Yixuan Long et al.
EvSign: Sign Language Recognition and Translation with Streaming Events
Pengyu Zhang, Hao Yin, Zeren Wang et al.
Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding
Minh Tran, Yelin Kim, Che-Chun Su et al.
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers
Brian Chen, Tianyang Hu, Hui Jin et al.
Exact Diffusion Inversion via Bidirectional Integration Approximation
Guoqiang Zhang, j.p. lewis, W. Bastiaan Kleijn
Exact Fusion via Feature Distribution Matching for Few-shot Image Generation
Yingbo Zhou, Yutong Ye, Pengyu Zhang et al.
Exact Soft Analytical Side-Channel Attacks using Tractable Circuits
Thomas Wedenig, Rishub Nagpal, Gaëtan Cassiers et al.
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
Wenshuo Li, Xinghao Chen, Han Shu et al.
Executable Code Actions Elicit Better LLM Agents
Xingyao Wang, Yangyi Chen, Lifan Yuan et al.
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
Kensen Shi, Joey Hong, Yinlin Deng et al.
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
Alex Gomez-Villa, Dipam Goswami, Kai Wang et al.
EX-Graph: A Pioneering Dataset Bridging Ethereum and X
Qian Wang, Zhen Zhang, Zemin Liu et al.
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
Rwiddhi Chakraborty, Adrian de Sena Sletten, Michael C. Kampffmeyer
ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples
Noo-ri Kim, Jin-Seop Lee, Jee-Hyong LEE
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
Da-Wei Zhou, Hai-Long Sun, Han-Jia Ye et al.
Expand-and-Cluster: Parameter Recovery of Neural Networks
Flavio Martinelli, Berfin Simsek, Wulfram Gerstner et al.
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention
Zuyao Chen, Jinlin Wu, Zhen Lei et al.
Expected flow networks in stochastic environments and two-player zero-sum games
Marco Jiralerspong, Bilun Sun, Danilo Vucetic et al.
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
Stefano Blumberg, Paddy Slator, Daniel Alexander
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun et al.
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs
Daniel D. Johnson, Daniel Tarlow, David Duvenaud et al.
Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users
Daniela Massiceti, Camilla Longden, Agnieszka Słowik et al.
Explaining Graph Neural Networks via Structure-aware Interaction Index
Ngoc Bui, Trung Hieu Nguyen, Viet Anh Nguyen et al.
Explaining Kernel Clustering via Decision Trees
Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
Namitha Padmanabhan, Matthew A Gwilliam, Pulkit Kumar et al.
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
Andong Tan, Fengtao Zhou, Hao Chen
Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion
Hang Xu, Chen Long, Wenxiao Zhang et al.
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
Mirco Mutti, Riccardo De Santi, Marcello Restelli et al.
Exploiting Diffusion Prior for Generalizable Dense Prediction
Hsin-Ying Lee, Hung-Yu Tseng, Hsin-Ying Lee et al.
Exploiting Dual-Correlation for Multi-frame Time-of-Flight Denoising
Guanting Dong, Yueyi Zhang, Xiaoyan Sun et al.
Exploiting Human-AI Dependence for Learning to Defer
Zixi Wei, Yuzhou Cao, Lei Feng
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
Wenxiao Deng, Wenbin Li, Tianyu Ding et al.
Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics
Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel et al.
Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models
Minchan Kim, Minyeong Kim, Junik Bae et al.
Exploiting Style Latent Flows for Generalizing Deepfake Video Detection
Jongwook Choi, Taehoon Kim, Yonghyun Jeong et al.
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense
Jeremy Styborski, Mingzhi Lyu, YI HUANG et al.
Exploration and Anti-Exploration with Distributional Random Network Distillation
Kai Yang, jian tao, Jiafei Lyu et al.
Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring
Taira Tsuchiya, Shinji Ito, Junya Honda
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
Yihan Du, Anna Winnicki, Gal Dalal et al.