Papers
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
Yao Mark Mu, Shoufa Chen, Mingyu Ding et al.
Curriculum Reinforcement Learning via Constrained Optimal Transport
Pascal Klink, Haoyi Yang, Carlo D’Eramo et al.
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan, Tengfei Ma, Liangcai Gao et al.
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Robert Hönig, Yiren Zhao, Robert Mullins
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Alexei Baevski, Wei-Ning Hsu, Qiantong Xu et al.
Data Augmentation as Feature Manipulation
Ruoqi Shen, Sebastien Bubeck, Suriya Gunasekar
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Alex Fang, Gabriel Ilharco, Mitchell Wortsman et al.
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
Tianlong Chen, Zhenyu Zhang, Sijia Liu et al.
Datamodels: Understanding Predictions with Data and Data with Predictions
Andrew Ilyas, Sung Min Park, Logan Engstrom et al.
Data Scaling Laws in NMT: The Effect of Noise and Architecture
Yamini Bansal, Behrooz Ghorbani, Ankush Garg et al.
Dataset Condensation via Efficient Synthetic-Data Parameterization
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh et al.
Dataset Condensation with Contrastive Signals
Saehyung Lee, Sanghyuk Chun, Sangwon Jung et al.
Data-SUITE: Data-centric identification of in-distribution incongruous examples
Nabeel Seedat, Jonathan Crabbé, Mihaela van der Schaar
DAVINZ: Data Valuation using Deep Neural Networks at Initialization
Zhaoxuan Wu, Yao Shu, Bryan Kian Hsiang Low
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
Aram-Alexandre Pooladian, Marco Cuturi, Jonathan Niles-Weed
Decentralized Online Convex Optimization in Networked Systems
Yiheng Lin, Judy Gan, Guannan Qu et al.
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
Malik Tiomoko, Ekkehard Schnoor, Mohamed El Amine Seddik et al.
Decision-Focused Learning: Through the Lens of Learning to Rank
Jayanta Mandi, Vı́ctor Bucarey, Maxime Mulamba Ke Tchomba et al.
Decomposing Temporal High-Order Interactions via Latent ODEs
Shibo Li, Robert Kirby, Shandian Zhe
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
Jiahui Li, Kun Kuang, Baoxiang Wang et al.
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Nikhil Kandpal, Eric Wallace, Colin Raffel
Deep and Flexible Graph Neural Architecture Search
Wentao Zhang, Zheyu Lin, Yu Shen et al.
Deep Causal Metric Learning
Xiang Deng, Zhongfei Zhang
Deep equilibrium networks are sensitive to initialization statistics
Atish Agarwala, Samuel S Schoenholz
Deep Hierarchy in Bandits
Joey Hong, Branislav Kveton, Sumeet Katariya et al.