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)

FairRR: Pre-Processing for Group Fairness through Randomized Response AISTATS 2024 Fair Sampling in Diffusion Models through Switching Mechanism AAAI 2024 Fair Secretaries with Unfair Predictions NeurIPS 2024 FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling ICLR 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024 Fair Soft Clustering AISTATS 2024 Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes AISTATS 2024 FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning AAAI 2024 FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis ICLR 2024 Fair-VPT: Fair Visual Prompt Tuning for Image Classification CVPR 2024 FairWASP: Fast and Optimal Fair Wasserstein Pre-processing AAAI 2024 Fair Wasserstein Coresets NeurIPS 2024 FairWire: Fair Graph Generation NeurIPS 2024 FairyWREN: A Sustainable Cache for Emerging Write-Read-Erase Flash Interfaces OSDI 2024 Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024 FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation WACV 2024 Fake It Till Make It: Federated Learning with Consensus-Oriented Generation ICLR 2024 Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection ECCV 2024 FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024 FAME: Towards Factual Multi-Task Model Editing EMNLP 2024 FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis ECCV 2024 FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning EMNLP 2024 Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model ICLR 2024 Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models COLING 2024 FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model EMNLP 2024