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
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Papers (including subtopics)
Leveraging Adapter for Parameter-Efficient ASR Encoder
Interspeech 2024
Leveraging AMR Graph Structure for Better Sequence-to-Sequence AMR Parsing
COLING 2024
Leveraging Approximate Pattern Matching with BERT for Event Detection
EACL 2024
Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training
EMNLP 2024
Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning
NeurIPS 2024
Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction
ACL 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
NeurIPS 2024
Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
CVPR 2024
Leveraging Customer Feedback for Multi-modal Insight Extraction
NAACL 2024
Leveraging Deep Learning to Shed Light on Tones of an Endangered Language: A Case Study of Moklen
ACL 2024
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias
AISTATS 2024
Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
NeurIPS 2024
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking
EMNLP 2024
Leveraging Grammar Induction for Language Understanding and Generation
EMNLP 2024
Leveraging Graph Structures to Detect Hallucinations in Large Language Models
ACL 2024
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning
L4DC 2024
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
AAAI 2024
Leveraging Implicit Feedback from Deployment Data in Dialogue
EACL 2024
Leveraging Information Redundancy of Real-World Data through Distant Supervision
COLING 2024
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
ACL 2024
Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning
AAAI 2024
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations
ACL 2024
Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation between Cantonese and English
ACL 2024
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding
EACL 2024
Leveraging Mutual Information for Asymmetric Learning under Partial Observability
CoRL 2024