Papers
WeiPer: OOD Detection using Weight Perturbations of Class Projections
Maximilian Granz, Manuel Heurich, Tim Landgraf
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
Raffaele Paolino, Sohir Maskey, Pascal Welke et al.
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
Yunchao (Lance) Liu, Ha Dong, Xin Wang et al.
WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts
Jiahuan Cao, Yang Liu, Yongxin Shi et al.
WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
Claire Bizon Monroc, Ana Bušić, Donatien Dubuc et al.
What does guidance do? A fine-grained analysis in a simple setting
Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen et al.
What do Graph Neural Networks learn? Insights from Tropical Geometry
Tuan Anh Pham, Vikas Garg
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration
Libo Qin, Qiguang Chen, Hao Fei et al.
What If the Input is Expanded in OOD Detection?
Boxuan Zhang, Jianing Zhu, Zengmao Wang et al.
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks
Yilun Zheng, Sitao Luan, Lihui Chen
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
Daniel Hothem, Ashe Miller, Timothy Proctor
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz et al.
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
Xin Wen, Bingchen Zhao, Yilun Chen et al.
What Makes Partial-Label Learning Algorithms Effective?
Jiaqi Lv, Yangfan Liu, Shiyu Xia et al.
What makes unlearning hard and what to do about it
Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu et al.
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
Jialu Li, Yu Wang, Pengfei Zhu et al.
What matters when building vision-language models?
Hugo Laurençon, Léo Tronchon, Matthieu Cord et al.
What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction
Sunny Panchal, Apratim Bhattacharyya, Guillaume Berger et al.
What type of inference is planning?
Miguel Lázaro-Gredilla, Li Yang Ku, Kevin P. Murphy et al.
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
Md Yousuf Harun, Kyungbok Lee, Jhair Gallardo et al.
When are dynamical systems learned from time series data statistically accurate?
Jeongjin (Jayjay) Park, Nicole Tianjiao Yang, Nisha Chandramoorthy
When does perceptual alignment benefit vision representations?
Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler et al.
When is an Embedding Model More Promising than Another?
Maxime DARRIN, Philippe FORMONT, Ismail BEN AYED et al.