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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Harmonizing Generalization and Personalization in Federated Prompt Learning ICML 2024 Harnessing Edge Information for Improved Robustness in Vision Transformers AAAI 2024 Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains ICLR 2024 Harnessing Large Language Models for Training-free Video Anomaly Detection CVPR 2024 Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning AAAI 2024 Harnessing small projectors and multiple views for efficient vision pretraining NeurIPS 2024 Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification AAAI 2024 HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing AAAI 2024 HashPoint: Accelerated Point Searching and Sampling for Neural Rendering CVPR 2024 HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models EMNLP 2024 HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images CVPR 2024 Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles From Driving Scenes WACV 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations AAAI 2024 HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data NeurIPS 2024 HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping AAAI 2024 Hear You Say You: An Efficient Framework for Marine Mammal Sounds’ Classification AAAI 2024 HEMM: Holistic Evaluation of Multimodal Foundation Models NeurIPS 2024 HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model NeurIPS 2024 HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis NeurIPS 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024 Heterogeneous Test-Time Training for Multi-Modal Person Re-identification AAAI 2024 HGDL: Heterogeneous Graph Label Distribution Learning NeurIPS 2024 HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents EMNLP 2024 Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection ACL 2024