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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)

Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling ACL 2023 QueryForm: A Simple Zero-shot Form Entity Query Framework ACL 2023 Query Refinement Prompts for Closed-Book Long-Form QA ACL 2023 Query Rewriting in Retrieval-Augmented Large Language Models EMNLP 2023 Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs ACL 2023 QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations ACL 2023 Quilt-1M: One Million Image-Text Pairs for Histopathology NeurIPS 2023 RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models ACL 2023 RADIANT: Radar-Image Association Network for 3D Object Detection AAAI 2023 RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs AAAI 2023 RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation IJCAI 2023 Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation EMNLP 2023 Randomized Adversarial Training via Taylor Expansion CVPR 2023 Randomized Schur Complement Views for Graph Contrastive Learning ICML 2023 Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications ACL 2023 Random Sub-Samples Generation for Self-Supervised Real Image Denoising ICCV 2023 Random Teachers are Good Teachers ICML 2023 RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank ACL 2023 RankDNN: Learning to Rank for Few-Shot Learning AAAI 2023 Ranking-Enhanced Unsupervised Sentence Representation Learning ACL 2023 RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank ICML 2023 RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images With Diverse Sizes and Imbalanced Categories CVPR 2023 Raphael at ArAIEval Shared Task: Understanding Persuasive Language and Tone, an LLM Approach EMNLP 2023 RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction EMNLP 2023 Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images ICLR 2023