Poster Papers
24,624 papers found • Page 491 of 493
Conference
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
Ching-Yun (Irene) Ko, Pin-Yu Chen, Payel Das et al.
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
Alex Trevithick, Matthew Chan, Towaki Takikawa et al.
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du, Yiyou Sun, Sharon Li
When and How do negative prompts take effect?
Yuanhao Ban, Ruochen Wang, Tianyi Zhou et al.
When can transformers reason with abstract symbols?
Enric Boix-Adserà, Omid Saremi, Emmanuel Abbe et al.
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
Aleksandar Petrov, Philip Torr, Adel Bibi
When Do We Not Need Larger Vision Models?
Baifeng Shi, Ziyang Wu, Maolin Mao et al.
When Fast Fourier Transform Meets Transformer for Image Restoration
xingyu jiang, Xiuhui Zhang, Ning Gao et al.
When is Transfer Learning Possible?
My Phan, Kianté Brantley, Stephanie Milani et al.
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
Haoran You, Yichao Fu, Zheng Wang et al.
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset
Yi Zhang, Wang Zeng, Sheng Jin et al.
When Representations Align: Universality in Representation Learning Dynamics
Loek van Rossem, Andrew Saxe
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Biao Zhang, Zhongtao Liu, Colin Cherry et al.
When Semantic Segmentation Meets Frequency Aliasing
Linwei Chen, Lin Gu, Ying Fu
When should we prefer Decision Transformers for Offline Reinforcement Learning?
Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard et al.
When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation
Xiaoming Li, Xinyu Hou, Chen Change Loy
When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach
TAO MA, Bing Bai, Haozhe Lin et al.
When Will Gradient Regularization Be Harmful?
Yang Zhao, Hao Zhang, Xiuyuan Hu
Where am I? Scene Retrieval with Language
Jiaqi Chen, Daniel Barath, Iro Armeni et al.
Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs
Qihan Ren, Jiayang Gao, Wen Shen et al.
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
Yuxiao Wen, Arthur Jacot
Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution
Fengyuan Liu, Haochen Luo, Yiming Li et al.
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models
Xavi Suau, Pieter Delobelle, Katherine Metcalf et al.
Whittle Index with Multiple Actions and State Constraint for Inventory Management
Chuheng Zhang, Xiangsen Wang, Wei Jiang et al.
Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning
Jin Hwa Lee, Stefano Mannelli, Andrew Saxe
Why do Variational Autoencoders Really Promote Disentanglement?
Pratik Bhowal, Achint Soni, Sirisha Rambhatla
Why Do You Grok? A Theoretical Analysis on Grokking Modular Addition
Mohamad Amin Mohamadi, Zhiyuan Li, Lei Wu et al.
Why is SAM Robust to Label Noise?
Christina Baek, J Kolter, Aditi Raghunathan
Why Larger Language Models Do In-context Learning Differently?
Zhenmei Shi, Junyi Wei, Zhuoyan Xu et al.
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
Kumaranage Ravindu Nagasinghe, Honglu Zhou, Malitha Gunawardhana et al.
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
Katja Schwarz, Seung Wook Kim, Jun Gao et al.
WildlifeMapper: Aerial Image Analysis for Multi-Species Detection and Identification
Satish Kumar, Bowen Zhang, Chandrakanth Gudavalli et al.
WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language
Zhenxiang Lin, Xidong Peng, peishan cong et al.
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models
Zijian He, Peixin Chen, Guangrun Wang et al.
WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing
Shuokang Huang, Kaihan Li, Di You et al.
Window Attention is Bugged: How not to Interpolate Position Embeddings
Daniel Bolya, Chaitanya Ryali, Judy Hoffman et al.
WindPoly: Polygonal Mesh Reconstruction via Winding Numbers
Xin He, Chenlei Lyu, Pengdi Huang et al.
Winner-takes-all learners are geometry-aware conditional density estimators
Victor Letzelter, David Perera, Cédric Rommel et al.
WinSyn: : A High Resolution Testbed for Synthetic Data
Tom Kelly, John Femiani, Peter Wonka
Win-Win: Training High-Resolution Vision Transformers from Two Windows
Vincent Leroy, Jerome Revaud, Thomas Lucas et al.
Wired Perspectives: Multi-View Wire Art Embraces Generative AI
Zhiyu Qu, LAN YANG, Honggang Zhang et al.
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer
Kumar Shubham, Aishwarya Jayagopal, Syed Danish et al.
Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence
Yutong Chen, Yifan Zhan, Zhihang Zhong et al.
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Ziyang Luo, Can Xu, Pu Zhao et al.
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
Can Xu, Qingfeng Sun, Kai Zheng et al.
WonderJourney: Going from Anywhere to Everywhere
Hong-Xing Yu, Haoyi Duan, Junhwa Hur et al.
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Irina Rish, Kartik Ahuja, Mohammad Javad Darvishi Bayazi et al.
WorDepth: Variational Language Prior for Monocular Depth Estimation
Ziyao Zeng, Hyoungseob Park, Fengyu Yang et al.
WordRobe: Text-Guided Generation of Textured 3D Garments
Astitva Srivastava, Pranav Manu, Amit Raj et al.
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
Alexandre Drouin, Maxime Gasse, Massimo Caccia et al.