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Learning Types

32,670 papers (1 classified directly here)

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

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

How Well Do Text Embedding Models Understand Syntax? EMNLP 2023 HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text NeurIPS 2023 HRDoc: Dataset and Baseline Method toward Hierarchical Reconstruction of Document Structures AAAI 2023 HTE at ArAIEval Shared Task: Integrating Content Type Information in Binary Persuasive Technique Detection EMNLP 2023 H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem AAAI 2023 HuaSLIM: Human Attention Motivated Shortcut Learning Identification and Mitigation for Large Language models ACL 2023 Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes CVPR 2023 Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition ACL 2023 Human-in-the-loop Abstractive Dialogue Summarization ACL 2023 Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney EMNLP 2023 Human Motion Diffusion Model ICLR 2023 Human Pose As Compositional Tokens CVPR 2023 Human Pose Estimation in Extremely Low-Light Conditions CVPR 2023 Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation CVPR 2023 HW-TSC at IWSLT2023: Break the Quality Ceiling of Offline Track via Pre-Training and Domain Adaptation ACL 2023 Hybrid and Collaborative Passage Reranking ACL 2023 Hybrid Convolution Method for Graph Classification Using Hierarchical Topology Feature ACML 2023 Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem AAAI 2023 Hybrid Models for Sentence Readability Assessment ACL 2023 HybridPrompt: Bridging Language Models and Human Priors in Prompt Tuning for Visual Question Answering AAAI 2023 Hybrid-Regressive Paradigm for Accurate and Speed-Robust Neural Machine Translation ACL 2023 HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model ACL 2023 Hyperbolic Contrastive Learning for Visual Representations Beyond Objects CVPR 2023 Hyperbolic Deep Reinforcement Learning ICLR 2023 Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning ICML 2023