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)
Faster Recalibration of an Online Predictor via Approachability
AISTATS 2024
Faster Repeated Evasion Attacks in Tree Ensembles
NeurIPS 2024
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo
COLT 2024
FastFit: Fast and Effective Few-Shot Text Classification with a Multitude of Classes
NAACL 2024
Fast Forwarding Low-Rank Training
EMNLP 2024
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning
ACL 2024
Fast Machine Unlearning without Retraining through Selective Synaptic Dampening
AAAI 2024
Fast One-Stage Unsupervised Domain Adaptive Person Search
IJCAI 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
NeurIPS 2024
Fast Proxy Experiment Design for Causal Effect Identification
NeurIPS 2024
Fast Rates for Bandit PAC Multiclass Classification
NeurIPS 2024
Fast Rates in Pool-Based Batch Active Learning
JMLR 2024
Fast Reliability Estimation for Neural Networks with Adversarial Attack-Driven Importance Sampling
UAI 2024
Fast samplers for Inverse Problems in Iterative Refinement models
NeurIPS 2024
Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm
COLT 2024
Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper
EMNLP 2024
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
NeurIPS 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
NeurIPS 2024
Fast Unpaired Multi-view Clustering
IJCAI 2024
Fast White-Box Adversarial Streaming Without a Random Oracle
ICML 2024
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning
CVPR 2024
FD-UAD: Unsupervised Anomaly Detection Platform Based on Defect Autonomous Imaging and Enhancement
IJCAI 2024
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection
AAAI 2024
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
AAAI 2024
Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification
NeurIPS 2024