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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4
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5783
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Papers (including subtopics)

Value-at-Risk Optimization with Gaussian Processes ICML 2021
Cross-model Back-translated Distillation for Unsupervised Machine Translation ICML 2021
Differentially Private Densest Subgraph Detection ICML 2021
Data Augmentation for Meta-Learning ICML 2021
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting ICML 2021
Regularizing towards Causal Invariance: Linear Models with Proxies ICML 2021
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics ICML 2021
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data ICML 2021
Privacy-Preserving Video Classification with Convolutional Neural Networks ICML 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per Second ICML 2021
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset ICML 2021
A Probabilistic Approach to Neural Network Pruning ICML 2021
Oneshot Differentially Private Top-k Selection ICML 2021
Differentially Private Sliced Wasserstein Distance ICML 2021
Enhancing Robustness of Neural Networks through Fourier Stabilization ICML 2021
Cross-domain Imitation from Observations ICML 2021
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data ICML 2021
On the Predictability of Pruning Across Scales ICML 2021
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning ICML 2021
Multi-group Agnostic PAC Learnability ICML 2021
Training Data Subset Selection for Regression with Controlled Generalization Error ICML 2021
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks ICML 2021
Connecting Sphere Manifolds Hierarchically for Regularization ICML 2021
Zoo-Tuning: Adaptive Transfer from A Zoo of Models ICML 2021