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)

Adversarial Teacher-Student Representation Learning for Domain Generalization NIPS 2021
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression NIPS 2021
Grounding inductive biases in natural images: invariance stems from variations in data NIPS 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework NIPS 2021
Fast and Memory Efficient Differentially Private-SGD via JL Projections NIPS 2021
Boost Neural Networks by Checkpoints NIPS 2021
Adder Attention for Vision Transformer NIPS 2021
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport NIPS 2021
Chasing Sparsity in Vision Transformers: An End-to-End Exploration NIPS 2021
XCiT: Cross-Covariance Image Transformers NIPS 2021
Uncertainty Quantification and Deep Ensembles NIPS 2021
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning NIPS 2021
User-Level Differentially Private Learning via Correlated Sampling NIPS 2021
Model-Based Domain Generalization NIPS 2021
Node Dependent Local Smoothing for Scalable Graph Learning NIPS 2021
BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market NIPS 2021
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning NIPS 2021
On Large-Cohort Training for Federated Learning NIPS 2021
Private learning implies quantum stability NIPS 2021
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement NIPS 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training NIPS 2021
BNS: Building Network Structures Dynamically for Continual Learning NIPS 2021
Auditing Black-Box Prediction Models for Data Minimization Compliance NIPS 2021
Relaxed Marginal Consistency for Differentially Private Query Answering NIPS 2021
The balancing principle for parameter choice in distance-regularized domain adaptation NIPS 2021