Poster Papers
24,624 papers found • Page 368 of 493
Conference
Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants
Peter Richtarik, Elnur Gasanov, Konstantin Burlachenko
ES³: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations
Yuanhang Zhang, Shuang Yang, Shiguang Shan et al.
ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation
Khoi D Nguyen, Chen Li, Gim Hee Lee
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
Yiwei Li, Peiwen Yuan, Shaoxiong Feng et al.
EscherNet: A Generative Model for Scalable View Synthesis
Xin Kong, Shikun Liu, Xiaoyang Lyu et al.
ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling
Kangjie Zheng, Siyu Long, Tianyu Lu et al.
ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection
Hongyu Liu, Runmin Cong, Hua Li et al.
ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images
Jinseo Jeong, Junseo Koo, Qimeng Zhang et al.
Estimating Barycenters of Distributions with Neural Optimal Transport
Alexander Kolesov, Petr Mokrov, Igor Udovichenko et al.
Estimating Canopy Height at Scale
Jan Pauls, Max Zimmer, Una Kelly et al.
Estimating Conditional Mutual Information for Dynamic Feature Selection
Soham Gadgil, Ian Covert, Su-In Lee
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
Undral Byambadalai, Tatsushi Oka, Shota Yasui
Estimating Extreme 3D Image Rotations using Cascaded Attention
Shay Dekel, Yosi Keller, Martin Čadík
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
Rui Zhao, Bin Shi, Jianfei Ruan et al.
Estimating Shape Distances on Neural Representations with Limited Samples
Dean Pospisil, Brett Larsen, Sarah Harvey et al.
Estimating the Permanent by Nesting Importance Sampling
Juha Harviainen, Mikko Koivisto
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing
Wonjun Kang, Kevin Galim, Hyung Il Koo
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
Massimo Bini, Karsten Roth, Zeynep Akata et al.
E.T. the Exceptional Trajectory: Text-to-camera-trajectory generation with character awareness
Robin Courant, Nicolas Dufour, Xi WANG et al.
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples
Andrew C. Cullen, Shijie Liu, Paul Montague et al.
Eureka: Human-Level Reward Design via Coding Large Language Models
Yecheng Jason Ma, William Liang, Guanzhi Wang et al.
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems
David T. Hoffmann, Simon Schrodi, Jelena Bratulić et al.
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
Yaofang Liu, Xiaodong Cun, Xuebo Liu et al.
Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models
Mingrui Wu, Jiayi Ji, Oucheng Huang et al.
Evaluating Instrument Validity using the Principle of Independent Mechanisms
Patrick F. Burauel
Evaluating Language Model Agency Through Negotiations
Tim R. Davidson, Veniamin Veselovsky, Michal Kosinski et al.
Evaluating Large Language Models at Evaluating Instruction Following
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao et al.
Evaluating Model Bias Requires Characterizing its Mistakes
Isabela Albuquerque, Jessica Schrouff, David Warde-Farley et al.
Evaluating Quantized Large Language Models
Shiyao Li, Xuefei Ning, Luning Wang et al.
Evaluating Representation Learning on the Protein Structure Universe
Arian Jamasb, Alex Morehead, Chaitanya Joshi et al.
Evaluating Text-to-Visual Generation with Image-to-Text Generation
Zhiqiu Lin, Deepak Pathak, Baiqi Li et al.
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off
Levente Ferenc Halmosi, Bálint Mohos, Márk Jelasity
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods
Mengyu Dai, Amir Hossein Raffiee, Aashish Jain et al.
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
Linyuan Gong, Sida Wang, Mostafa Elhoushi et al.
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Motasem Alfarra, Hani Itani, Alejandro Pardo et al.
EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension
Jiaxuan Li, Duc Minh Vo, Akihiro Sugimoto et al.
EvDiG: Event-guided Direct and Global Components Separation
xinyu zhou, Peiqi Duan, Boyu Li et al.
Event-Adapted Video Super-Resolution
Zeyu Xiao, Dachun Kai, Yueyi Zhang et al.
Event-Aided Time-To-Collision Estimation for Autonomous Driving
Jinghang Li, Bangyan Liao, Xiuyuan LU et al.
Event-assisted Low-Light Video Object Segmentation
Li Hebei, Jin Wang, Jiahui Yuan et al.
Event-based Head Pose Estimation: Benchmark and Method
jiahui yuan, Hebei Li, Yansong Peng et al.
Event-based Mosaicing Bundle Adjustment
Shuang Guo, Guillermo Gallego
Event-Based Motion Magnification
Yutian Chen, Shi Guo, Yu Fangzheng et al.
Event-based Visible and Infrared Fusion via Multi-task Collaboration
Mengyue Geng, Lin Zhu, Lizhi Wang et al.
EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding
jiazhou zhou, Xu Zheng, Yuanhuiyi Lyu et al.
Event Camera Data Dense Pre-training
Yan Yang, Liyuan Pan, Liu liu
EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
Xu Zheng, Addison, Lin Wang
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
Christen Millerdurai, Hiroyasu Akada, Jian Wang et al.
EventPS: Real-Time Photometric Stereo Using an Event Camera
Bohan Yu, Jieji Ren, Jin Han et al.
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
Mingyuan Sun, Donghao Zhang, Zongyuan Ge et al.