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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)

Long-Tail Cross Modal Hashing AAAI 2023 Long-Tailed Partial Label Learning via Dynamic Rebalancing ICLR 2023 Long-Tailed Question Answering in an Open World ACL 2023 Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels ICML 2023 Long-Term Rhythmic Video Soundtracker ICML 2023 Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning CVPR 2023 Look-back Decoding for Open-Ended Text Generation EMNLP 2023 Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence CVPR 2023 Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback EMNLP 2023 LORE: Logical Location Regression Network for Table Structure Recognition AAAI 2023 Losses over Labels: Weakly Supervised Learning via Direct Loss Construction AAAI 2023 Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way ACML 2023 LOVM: Language-Only Vision Model Selection NeurIPS 2023 Low-Light Image Enhancement Network Based on Multi-Scale Feature Complementation AAAI 2023 Low-Resource Comparative Opinion Quintuple Extraction by Data Augmentation with Prompting EMNLP 2023 Low Resource Quantitative Information Extraction via Structure Searching and Prefix-Based Text Generation AAAI 2023 Low-Resource Text Style Transfer for Bangla: Data & Models EMNLP 2023 LPT: Long-tailed Prompt Tuning for Image Classification ICLR 2023 LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object Detection CVPR 2023 LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching NeurIPS 2023 LWSIS: LiDAR-Guided Weakly Supervised Instance Segmentation for Autonomous Driving AAAI 2023 M2C: Towards Automatic Multimodal Manga Complement EMNLP 2023 M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities AAAI 2023 MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior ICML 2023 MACARONS: Mapping and Coverage Anticipation With RGB Online Self-Supervision CVPR 2023