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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'10
'15
'20
'25
Papers (including subtopics)
SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching
CVPR 2024
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
COLING 2024
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
CVPR 2024
SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
CVPR 2024
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning
AAAI 2024
SDMTR: A Brain-inspired Transformer for Relation Inference
AISTATS 2024
Se2: Sequential Example Selection for In-Context Learning
ACL 2024
SEABO: A Simple Search-Based Method for Offline Imitation Learning
ICLR 2024
Seamless Language Expansion: Enhancing Multilingual Mastery in Self-Supervised Models
Interspeech 2024
Searching for Best Practices in Retrieval-Augmented Generation
EMNLP 2024
Searching for High-Value Molecules Using Reinforcement Learning and Transformers
ICLR 2024
Searching for Programmatic Policies in Semantic Spaces
IJCAI 2024
Searching for Structure: Appraising the Organisation of Speech Features in wav2vec 2.0 Embeddings
Interspeech 2024
Second-order forward-mode optimization of recurrent neural networks for neuroscience
NeurIPS 2024
Second Order Methods for Bandit Optimization and Control
COLT 2024
Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks
EMNLP 2024
SeD: Semantic-Aware Discriminator for Image Super-Resolution
CVPR 2024
Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai
ACL 2024
SeeDRec: Sememe-based Diffusion for Sequential Recommendation
IJCAI 2024
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes
ACL 2024
Seeing Dark Videos via Self-Learned Bottleneck Neural Representation
AAAI 2024
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
EMNLP 2024
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
NeurIPS 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
CVPR 2024
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
EMNLP 2024