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Application Areas

31,658 papers (3 classified directly here)

Subtopics

Domain Adaptation (8,962) Efficient Computing (6,898) Data Augmentation (3,720) Fairness (3,511) Knowledge Distillation (3,086) Privacy (2,847) Domain Generalization (1,834) Model Compression (1,718) Risk Management (1,064) Model Merging (558) Recommender Systems (315) Information Retrieval (244) Text Classification (139) Text Processing (5)

Papers per year

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Papers (including subtopics)

Continuously Indexed Domain Adaptation ICML 2020
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates ICML 2020
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data ICML 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems ICML 2020
Domain Aggregation Networks for Multi-Source Domain Adaptation ICML 2020
DeltaGrad: Rapid retraining of machine learning models ICML 2020
On the Generalization Effects of Linear Transformations in Data Augmentation ICML 2020
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization ICML 2020
Variational Bayesian Quantization ICML 2020
Searching to Exploit Memorization Effect in Learning with Noisy Labels ICML 2020
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection ICML 2020
Data Valuation using Reinforcement Learning ICML 2020
Label-Noise Robust Domain Adaptation ICML 2020
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters ICML 2020
Robustness to Programmable String Transformations via Augmented Abstract Training ICML 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings ICML 2020
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning ICML 2020
Privately Learning Markov Random Fields ICML 2020
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective ICML 2020
Learning with Feature and Distribution Evolvable Streams ICML 2020
Individual Calibration with Randomized Forecasting ICML 2020
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion ICML 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ICML 2020
Learning Optimal Tree Models under Beam Search ICML 2020
An Algorithm for Multi-Attribute Diverse Matching IJCAI 2020