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)
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
AAAI 2024
Fusing Individualized Treatment Rules Using Secondary Outcomes
AISTATS 2024
Fusion from a Distributional Perspective: A Unified Symbiotic Diffusion Framework for Any Multisource Remote Sensing Data Classification
IJCAI 2024
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction
NAACL 2024
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving
NeurIPS 2024
GACL: Exemplar-Free Generalized Analytic Continual Learning
NeurIPS 2024
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
AAAI 2024
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
ICLR 2024
GAIA: Zero-shot Talking Avatar Generation
ICLR 2024
GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking
AAAI 2024
Game-Theoretic Unlearnable Example Generator
AAAI 2024
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
NeurIPS 2024
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
AAAI 2024
Gaussian Process Bandits for Top-k Recommendations
NeurIPS 2024
GDA: Generalized Diffusion for Robust Test-time Adaptation
CVPR 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
NeurIPS 2024
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets
EMNLP 2024
GECSum: Generative Evaluation-Driven Sequence Level Contrastive Learning for Abstractive Summarization
COLING 2024
GeminiPro at SemEval-2024 Task 9: BrainTeaser on Gemini
SemEval 2024
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
EMNLP 2024
GenAI Arena: An Open Evaluation Platform for Generative Models
NeurIPS 2024
GenDecider: Integrating “None of the Candidates” Judgments in Zero-Shot Entity Linking Re-ranking
NAACL 2024
GenDistiller: Distilling Pre-trained Language Models based on an Autoregressive Generative Model
Interspeech 2024
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion
ICLR 2024
General Detection-based Text Line Recognition
NeurIPS 2024