Papers
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
Jacob Lindbäck, Zesen Wang, Mikael Johansson
BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning
Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv et al.
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
Jan Dubiński, Stanisław Pawlak, Franziska Boenisch et al.
Budgeting Counterfactual for Offline RL
Yao Liu, Pratik Chaudhari, Rasool Fakoor
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
Patrick Emami, Abhijeet Sahu, Peter Graf
Building Socio-culturally Inclusive Stereotype Resources with Community Engagement
Sunipa Dev, Jaya Goyal, Dinesh Tewari et al.
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
Nikita Gushchin, Alexander Kolesov, Petr Mokrov et al.
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition
Yiting Dong, Yang Li, Dongcheng Zhao et al.
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing
Josh Alman, 杰昊 梁, Zhao Song et al.
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes
Yizi Zhang, Tianxiao He, Julien Boussard et al.
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits
Haolin Liu, Chen-Yu Wei, Julian Zimmert
Byzantine-Tolerant Methods for Distributed Variational Inequalities
Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu et al.
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
Charles Guille-Escuret, Pau Rodriguez, David Vazquez et al.
Cal-DETR: Calibrated Detection Transformer
Muhammad Akhtar Munir, Salman H Khan, Muhammad Haris Khan et al.
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
Dingmin Wang, Yeyuan Chen
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
Nika Haghtalab, Chara Podimata, Kunhe Yang
Calibrating “Cheap Signals” in Peer Review without a Prior
Yuxuan Lu, Yuqing Kong
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh et al.
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
Charlie Marx, Sofian Zalouk, Stefano Ermon
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Mitsuhiko Nakamoto, Simon Zhai, Anikait Singh et al.
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
Guohao Li, Hasan Hammoud, Hani Itani et al.
CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches
Phoenix Williams, Ke Li
CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes
Xiaohan Wang, Yuehu Liu, Xinhang Song et al.
Can Language Models Solve Graph Problems in Natural Language?
Heng Wang, Shangbin Feng, Tianxing He et al.
Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization
Swarnadeep Saha, Peter Hase, Mohit Bansal