Papers
CrossSplit: Mitigating Label Noise Memorization through Data Splitting
Jihye Kim, Aristide Baratin, Yan Zhang et al.
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
Gengchen Mai, Ni Lao, Yutong He et al.
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett, Corentin Tallec, Florent Altché et al.
Curious Replay for Model-based Adaptation
Isaac Kauvar, Chris Doyle, Linqi Zhou et al.
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation
Xin Wang, Zirui Pan, Yuwei Zhou et al.
Cut your Losses with Squentropy
Like Hui, Mikhail Belkin, Stephen Wright
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization
Xufeng Cai, Chaobing Song, Stephen Wright et al.
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
Xuanzhou Liu, Lin Zhang, Jiaqi Sun et al.
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization
Adel Nabli, Edouard Oyallon
Data-Copying in Generative Models: A Formal Framework
Robi Bhattacharjee, Sanjoy Dasgupta, Kamalika Chaudhuri
Data-Driven Subgroup Identification for Linear Regression
Zachary Izzo, Ruishan Liu, James Zou
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
Siddharth Joshi, Baharan Mirzasoleiman
Data Efficient Neural Scaling Law via Model Reusing
Peihao Wang, Rameswar Panda, Zhangyang Wang
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Rohan Taori, Tatsunori Hashimoto
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
Yongchan Kwon, James Zou
Data Poisoning Attacks Against Multimodal Encoders
Ziqing Yang, Xinlei He, Zheng Li et al.
Data Representations’ Study of Latent Image Manifolds
Ilya Kaufman, Omri Azencot
Dataset Distillation with Convexified Implicit Gradients
Noel Loo, Ramin Hasani, Mathias Lechner et al.
Data Structures for Density Estimation
Anders Aamand, Alexandr Andoni, Justin Y. Chen et al.
DDGR: Continual Learning with Deep Diffusion-based Generative Replay
Rui Gao, Weiwei Liu
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
Tongtian Zhu, Fengxiang He, Kaixuan Chen et al.
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity
Xuxing Chen, Minhui Huang, Shiqian Ma et al.
Decoding Layer Saliency in Language Transformers
Elizabeth Mary Hou, Gregory David Castanon
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang et al.
Deep Anomaly Detection under Labeling Budget Constraints
Aodong Li, Chen Qiu, Marius Kloft et al.