Papers
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Yongqiang Chen, Yatao Bian, Kaiwen Zhou et al.
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
Peter Hase, Mohit Bansal, Been Kim et al.
Does progress on ImageNet transfer to real-world datasets?
Alex Fang, Simon Kornblith, Ludwig Schmidt
Does Visual Pretraining Help End-to-End Reasoning?
Chen Sun, Calvin Luo, Xingyi Zhou et al.
Domain Adaptive Imitation Learning with Visual Observation
Sungho Choi, Seungyul Han, Woojun Kim et al.
Domain Agnostic Fourier Neural Operators
Ning Liu, Siavash Jafarzadeh, Yue Yu
Domain Re-Modulation for Few-Shot Generative Domain Adaptation
Yi Wu, Ziqiang Li, Chaoyue Wang et al.
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
Junfeng Guo, Yiming Li, Lixu Wang et al.
Do Not Marginalize Mechanisms, Rather Consolidate!
Moritz Willig, Matej Zečević, Devendra Dhami et al.
Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models
Leonardo Galli, Holger Rauhut, Mark Schmidt
Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
Aahlad Manas Puli, Lily Zhang, Yoav Wald et al.
Don’t just prune by magnitude! Your mask topology is a secret weapon
Duc Hoang, Souvik Kundu, Shiwei Liu et al.
Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Zhengxiang Shi, Aldo Lipani
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
Sang Michael Xie, Hieu Pham, Xuanyi Dong et al.
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
Wenxin Tai, Yue Lei, Fan Zhou et al.
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
Casey Meehan, Florian Bordes, Pascal Vincent et al.
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control
Jann Spiess, guido imbens, Amar Venugopal
Double Auctions with Two-sided Bandit Feedback
Soumya Basu, Abishek Sankararaman
Double Gumbel Q-Learning
David Yu-Tung Hui, Aaron C. Courville, Pierre-Luc Bacon
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Jose Blanchet, Miao Lu, Tong Zhang et al.
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee
Yuanshi Liu, Cong Fang, Tong Zhang
Doubly Constrained Fair Clustering
John Dickerson, Seyed Esmaeili, Jamie H Morgenstern et al.
Doubly Robust Augmented Transfer for Meta-Reinforcement Learning
Yuankun Jiang, Nuowen Kan, Chenglin Li et al.
Doubly-Robust Self-Training
Banghua Zhu, Mingyu Ding, Philip Jacobson et al.
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method
Ahmed Khaled, Konstantin Mishchenko, Chi Jin