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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Papers (including subtopics)

Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation ACML 2021
Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models ACML 2021
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters ACML 2021
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021
When OT meets MoM: Robust estimation of Wasserstein Distance AISTATS 2021
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint AISTATS 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series AISTATS 2021
Alternating Direction Method of Multipliers for Quantization AISTATS 2021
Online Forgetting Process for Linear Regression Models AISTATS 2021
Learning Smooth and Fair Representations AISTATS 2021
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling AISTATS 2021
Foundations of Bayesian Learning from Synthetic Data AISTATS 2021
A Deterministic Streaming Sketch for Ridge Regression AISTATS 2021
CADA: Communication-Adaptive Distributed Adam AISTATS 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints AISTATS 2021
Robustness and scalability under heavy tails, without strong convexity AISTATS 2021
Learning with risk-averse feedback under potentially heavy tails AISTATS 2021
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers AISTATS 2021
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model AISTATS 2021
Regret Minimization for Causal Inference on Large Treatment Space AISTATS 2021
Optimizing Percentile Criterion using Robust MDPs AISTATS 2021
Algorithms for Fairness in Sequential Decision Making AISTATS 2021
Differentially Private Analysis on Graph Streams AISTATS 2021
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions AISTATS 2021