conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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1,828

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Papers (including subtopics)

Fair Allocation in Dynamic Mechanism Design NeurIPS 2024 Fair Allocation of Items in Multiple Regions AAAI 2024 Fair and Efficient Chore Allocation: Existence and Computation IJCAI 2024 Fair and Optimal Prediction via Post-Processing AAAI 2024 Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NeurIPS 2024 FairBelief - Assessing Harmful Beliefs in Language Models NAACL 2024 Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium NeurIPS 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024 FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication CVPR 2024 FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records MLHC 2024 FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs ICLR 2024 Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments EMNLP 2024 Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity CVPR 2024 Fair Federated Learning with Biased Vision-Language Models ACL 2024 FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract) AAAI 2024 FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024 Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior NeurIPS 2024 Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks AAAI 2024 FairGT: A Fairness-aware Graph Transformer IJCAI 2024 FairJob: A Real-World Dataset for Fairness in Online Systems NeurIPS 2024 Fair k-center Clustering with Outliers AISTATS 2024 Fair Kernel K-Means: from Single Kernel to Multiple Kernel NeurIPS 2024 Fair Machine Unlearning: Data Removal while Mitigating Disparities AISTATS 2024 FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models NeurIPS 2024 Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency AAAI 2024