conftrace_

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)

Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability ICML 2021
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels ICML 2021
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning ICML 2021
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers ICML 2021
Versatile Verification of Tree Ensembles ICML 2021
Coded-InvNet for Resilient Prediction Serving Systems ICML 2021
Putting the “Learning" into Learning-Augmented Algorithms for Frequency Estimation ICML 2021
Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021
Data augmentation for deep learning based accelerated MRI reconstruction with limited data ICML 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ICML 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation ICML 2021
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach ICML 2021
Lossless Compression of Efficient Private Local Randomizers ICML 2021
Reserve Price Optimization for First Price Auctions in Display Advertising ICML 2021
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation ICML 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings ICML 2021
Post-selection inference with HSIC-Lasso ICML 2021
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing ICML 2021
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference ICML 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators ICML 2021
An Information-Geometric Distance on the Space of Tasks ICML 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization ICML 2021
Strategic Classification in the Dark ICML 2021
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message ICML 2021
Differentially Private Quantiles ICML 2021