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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)

Dynamic Routing Transformer Network for Multimodal Sarcasm Detection ACL 2023 Dynamics-inspired Neuromorphic Visual Representation Learning ICML 2023 Dynamic Transformers Provide a False Sense of Efficiency ACL 2023 E2E-S2S-VC: End-To-End Sequence-To-Sequence Voice Conversion Interspeech 2023 EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition AAAI 2023 Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout AAAI 2023 Easy Guided Decoding in Providing Suggestions for Interactive Machine Translation ACL 2023 ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations ACL 2023 ECON: Explicit Clothed Humans Optimized via Normal Integration CVPR 2023 E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation ICLR 2023 Edge Structure Learning via Low Rank Residuals for Robust Image Classification AAAI 2023 EDIS: Entity-Driven Image Search over Multimodal Web Content EMNLP 2023 Editable Image Geometric Abstraction via Neural Primitive Assembly ICCV 2023 EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision CVPR 2023 Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles AAAI 2023 Effective Continual Learning for Text Classification with Lightweight Snapshots AAAI 2023 Effective Contrastive Weighting for Dense Query Expansion ACL 2023 Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data ACL 2023 Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary AAAI 2023 Efficient Continue Training of Temporal Language Model with Structural Information EMNLP 2023 Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition EMNLP 2023 Efficient Data Learning for Open Information Extraction with Pre-trained Language Models EMNLP 2023 Efficient Deep Reinforcement Learning Requires Regulating Overfitting ICLR 2023 Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning ACL 2023 Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer AAAI 2023