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)
Overview of the Hate Speech Detection in Turkish and Arabic Tweets (HSD-2Lang) Shared Task at CASE 2024
EACL 2024
Overview of Third Shared Task on Homophobia and Transphobia Detection in Social Media Comments
EACL 2024
OVMR: Open-Vocabulary Recognition with Multi-Modal References
CVPR 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
ICLR 2024
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
NeurIPS 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness
NeurIPS 2024
P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
ICLR 2024
P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL
AAAI 2024
P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation
IJCAI 2024
P2Seg: Pointly-supervised Segmentation via Mutual Distillation
ICLR 2024
P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization
ACL 2024
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
ACL 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
NeurIPS 2024
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
NeurIPS 2024
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
IJCAI 2024
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
ACL 2024
PAD: A Robustness Enhancement Ensemble Method via Promoting Attention Diversity
COLING 2024
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
CVPR 2024
PageRank Bandits for Link Prediction
NeurIPS 2024
PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation
AAAI 2024
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
CVPR 2024
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning
ACL 2024
Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion
AAAI 2024
Paloma: A Benchmark for Evaluating Language Model Fit
NeurIPS 2024
Panacea: Pareto Alignment via Preference Adaptation for LLMs
NeurIPS 2024