Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'20
'25
Papers (including subtopics)
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract)
AAAI 2024
Enhanced Facet Generation with LLM Editing
COLING 2024
Enhanced Financial Sentiment Analysis and Trading Strategy Development Using Large Language Models
ACL 2024
Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis
AAAI 2024
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression
ACL 2024
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning
CVPR 2024
Enhanced Reverberation as Supervision for Unsupervised Speech Separation
Interspeech 2024
Enhance Robustness of Language Models against Variation Attack through Graph Integration
COLING 2024
Enhancing adversarial robustness in Natural Language Inference using explanations
EMNLP 2024
Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning
ACML 2024
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
NAACL 2024
Enhancing Chess Reinforcement Learning with Graph Representation
NeurIPS 2024
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach
AAAI 2024
Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples
ACL 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
NeurIPS 2024
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding
NAACL 2024
Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation
ACL 2024
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild
ACL 2024
Enhancing Cross-modal Completion and Alignment for Unsupervised Incomplete Text-to-Image Person Retrieval
IJCAI 2024
Enhancing Cross Text-Molecule Learning by Self-Augmentation
ACL 2024
Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training
COLING 2024
Enhancing Distributional Stability among Sub-populations
AISTATS 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
NeurIPS 2024
Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation
Interspeech 2024
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder
ACL 2024