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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330

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1,020

1,828

2,498

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6,422

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1,666

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Papers (including subtopics)

Parameter-Efficient Detoxification with Contrastive Decoding ACL 2024 Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune? EACL 2024 Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain NAACL 2024 Parameter-efficient Fine-tuning of Speaker-Aware Dynamic Prompts for Speaker Verification Interspeech 2024 Parameter-Efficient Fine-Tuning with Controls ICML 2024 Parameter-Efficient Fine-Tuning with Discrete Fourier Transform ICML 2024 Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification MIDL 2024 Parameter-Efficient Multi-Task Model Fusion with Partial Linearization ICLR 2024 Parameter Efficient Self-Supervised Geospatial Domain Adaptation CVPR 2024 Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks EMNLP 2024 Parameter-Efficient Transfer Learning for End-to-end Speech Translation COLING 2024 Parameter-Inverted Image Pyramid Networks NeurIPS 2024 Parameterized Approximation Schemes for Fair-Range Clustering NeurIPS 2024 Parameterized Physics-informed Neural Networks for Parameterized PDEs ICML 2024 ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks CVPR 2024 Parametric Augmentation for Time Series Contrastive Learning ICLR 2024 Parametric model reduction of mean-field and stochastic systems via higher-order action matching NeurIPS 2024 ParamISP: Learned Forward and Inverse ISPs using Camera Parameters CVPR 2024 PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment EMNLP 2024 Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances NSDI 2024 PaReNeRF: Toward Fast Large-scale Dynamic NeRF with Patch-based Reference CVPR 2024 Pareto Optimal Learning for Estimating Large Language Model Errors ACL 2024 Parrot: Efficient Serving of LLM-based Applications with Semantic Variable OSDI 2024 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024 PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation CVPR 2024