Papers
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
Alicia Curth, Alan Jeffares, Mihaela van der Schaar
Auxiliary Losses for Learning Generalizable Concept-based Models
Ivaxi Sheth, Samira Ebrahimi Kahou
A Variational Perspective on High-Resolution ODEs
Hoomaan Maskan, Konstantinos Zygalakis, Alp Yurtsever
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions
Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda et al.
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent
Ziniu Hu, Ahmet Iscen, Chen Sun et al.
AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis
Susan Liang, Chao Huang, Yapeng Tian et al.
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
Elysia Smyers, Sydney Katz, Anthony Corso et al.
Back-Modality: Leveraging Modal Transformation for Data Augmentation
Zhi Li, Yifan Liu, Yin Zhang
BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking
Bin Huang, Jiaqian Yu, Yiwei Chen et al.
Balanced Training for Sparse GANs
Yite Wang, Jing Wu, NAIRA HOVAKIMYAN et al.
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective
Yifei Wang, Liangchen Li, Jiansheng Yang et al.
Balancing memorization and generalization in RNNs for high performance brain-machine Interfaces
Joseph Costello, Hisham Temmar, Luis Cubillos et al.
Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release
Yufan Li, Jialiang Mao, Iavor Bojinov
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance
Congyue Deng, Jiahui Lei, William B Shen et al.
BanditPAM++: Faster $k$-medoids Clustering
Mo Tiwari, Ryan Kang, Donghyun Lee et al.
Bandit Social Learning under Myopic Behavior
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin et al.
Bandit Task Assignment with Unknown Processing Time
Shinji Ito, Daisuke Hatano, Hanna Sumita et al.
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
Zelin Ni, Hang Yu, Shizhan Liu et al.
Batch Bayesian Optimization For Replicable Experimental Design
Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Tay et al.
Batchnorm Allows Unsupervised Radial Attacks
Amur Ghose, Apurv Gupta, Yaoliang Yu et al.
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
Micah Goldblum, Hossein Souri, Renkun Ni et al.
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization
Shu Yu Tew, Mario Boley, Daniel Schmidt
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
Yashas Annadani, Nick Pawlowski, Joel Jennings et al.
Bayesian Active Causal Discovery with Multi-Fidelity Experiments
Zeyu Zhang, Chaozhuo Li, Xu Chen et al.