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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1,828

2,498

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6,422

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1,666

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Papers (including subtopics)

Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024 Full Parameter Fine-tuning for Large Language Models with Limited Resources ACL 2024 Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing CVPR 2024 Fully Geometric Panoramic Localization CVPR 2024 Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024 Function Based Sim-to-Real Learning for Shape Control of Deformable Free-form Surfaces RSS 2024 Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey ACL 2024 Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models NeurIPS 2024 Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions ACL 2024 Further Compressing Distilled Language Models via Frequency-aware Partial Sparse Coding of Embeddings CoNLL 2024 FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions WACV 2024 FuseGen: PLM Fusion for Data-generation based Zero-shot Learning EMNLP 2024 Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion EMNLP 2024 Fusing Individualized Treatment Rules Using Secondary Outcomes AISTATS 2024 Fusing Models with Complementary Expertise ICLR 2024 Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering NAACL 2024 G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks AAAI 2024 GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection ICML 2024 Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks AAAI 2024 Gated Linear Attention Transformers with Hardware-Efficient Training ICML 2024 Gated Slot Attention for Efficient Linear-Time Sequence Modeling NeurIPS 2024 GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages ACL 2024 Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images NeurIPS 2024 GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting NeurIPS 2024 Gaussian Plane-Wave Neural Operator for Electron Density Estimation ICML 2024