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)
Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
IJCAI 2024
Advancing Open-Domain Conversational Agents - Designing an Engaging System for Natural Multi-Turn Dialogue
EACL 2024
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning
EMNLP 2024
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss
EMNLP 2024
Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms
COLING 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
NeurIPS 2024
Advancing Test-Time Adaptation in Wild Acoustic Test Settings
EMNLP 2024
Advancing Video Anomaly Detection: A Concise Review and a New Dataset
NeurIPS 2024
Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model
AAAI 2024
Adversarial Attacks on Combinatorial Multi-Armed Bandits
ICML 2024
Adversarial Attacks on Fairness of Graph Neural Networks
ICLR 2024
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
EMNLP 2024
Adversarial AutoMixup
ICLR 2024
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
CVPR 2024
Adversarial Causal Bayesian Optimization
ICLR 2024
Adversarial Distillation Based on Slack Matching and Attribution Region Alignment
CVPR 2024
Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents
NAACL 2024
Adversarial Environment Design via Regret-Guided Diffusion Models
NeurIPS 2024
Adversarial Fairness Network
AAAI 2024
Adversarial Imitation Learning via Boosting
ICLR 2024
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training
AAAI 2024
Adversarial Learning for Multi-Lingual Entity Linking
ACL 2024
Adversarially Robust Decision Transformer
NeurIPS 2024
Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework
ICML 2024
Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters
NeurIPS 2024