Papers
8,340 papers found
Counterfactual Analysis in Dynamic Latent State Models
Martin B Haugh, Raghav Singal
Counterfactual Identifiability of Bijective Causal Models
Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah
Coupled Variational Autoencoder
Xiaoran Hao, Patrick Shafto
Covariate balancing using the integral probability metric for causal inference
Insung Kong, Yuha Park, Joonhyuk Jung et al.
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
Ruofan Zhang, Jinjin Gu, Haoyu Chen et al.
Cramming: Training a Language Model on a single GPU in one day.
Jonas Geiping, Tom Goldstein
CRISP: Curriculum based Sequential neural decoders for Polar code family
S Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva et al.
Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss
Pierre Bréchet, Katerina Papagiannouli, Jing An et al.
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
Anqi Mao, Mehryar Mohri, Yutao Zhong
Cross-Modal Fine-Tuning: Align then Refine
Junhong Shen, Liam Li, Lucio M. Dery et al.
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