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)

FairRR: Pre-Processing for Group Fairness through Randomized Response AISTATS 2024
Learning Under Random Distributional Shifts AISTATS 2024
Proxy Methods for Domain Adaptation AISTATS 2024
Contextual Bandits with Budgeted Information Reveal AISTATS 2024
Timing as an Action: Learning When to Observe and Act AISTATS 2024
How Good is a Single Basin? AISTATS 2024
NoisyMix: Boosting Model Robustness to Common Corruptions AISTATS 2024
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection AISTATS 2024
On the Vulnerability of Fairness Constrained Learning to Malicious Noise AISTATS 2024
Private Learning with Public Features AISTATS 2024
Towards a Complete Benchmark on Video Moment Localization AISTATS 2024
SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data AISTATS 2024
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024
Towards Practical Non-Adversarial Distribution Matching AISTATS 2024
Computing epidemic metrics with edge differential privacy AISTATS 2024
Auditing Fairness under Unobserved Confounding AISTATS 2024
Self-Supervised Quantization-Aware Knowledge Distillation AISTATS 2024
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024
Coreset Markov chain Monte Carlo AISTATS 2024
Policy Learning for Localized Interventions from Observational Data AISTATS 2024
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective AISTATS 2024
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources AISTATS 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models AISTATS 2024
Deep Classifier Mimicry without Data Access AISTATS 2024