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)

Differentially Private Learning with Adaptive Clipping NIPS 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial NIPS 2021
Hash Layers For Large Sparse Models NIPS 2021
An Information-theoretic Approach to Distribution Shifts NIPS 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NIPS 2021
Long-Short Transformer: Efficient Transformers for Language and Vision NIPS 2021
Post-Training Sparsity-Aware Quantization NIPS 2021
Robust Auction Design in the Auto-bidding World NIPS 2021
Locality Sensitive Teaching NIPS 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning NIPS 2021
ErrorCompensatedX: error compensation for variance reduced algorithms NIPS 2021
Training Over-parameterized Models with Non-decomposable Objectives NIPS 2021
IRM—when it works and when it doesn't: A test case of natural language inference NIPS 2021
A Unified Approach to Fair Online Learning via Blackwell Approachability NIPS 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NIPS 2021
Learning Models for Actionable Recourse NIPS 2021
Federated Graph Classification over Non-IID Graphs NIPS 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization NIPS 2021
Metropolis-Hastings Data Augmentation for Graph Neural Networks NIPS 2021
Adapting to function difficulty and growth conditions in private optimization NIPS 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing NIPS 2021
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time NIPS 2021
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation NIPS 2021
Conservative Offline Distributional Reinforcement Learning NIPS 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NIPS 2021