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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Papers (including subtopics)
Noise against noise: stochastic label noise helps combat inherent label noise
ICLR 2021
Noise as a Resource for Learning in Knowledge Distillation
WACV 2021
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting
IJCAI 2021
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
AAAI 2021
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection
CVPR 2021
Noise-Tolerant Self-Supervised Learning for Audio-Visual Voice Activity Detection
Interspeech 2021
Noisy Concurrent Training for Efficient Learning Under Label Noise
WACV 2021
Noisy-Labeled NER with Confidence Estimation
NAACL 2021
Noisy Student-Teacher Training for Robust Keyword Spotting
Interspeech 2021
Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models
EMNLP 2021
No MCMC for me: Amortized sampling for fast and stable training of energy-based models
ICLR 2021
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
AAAI 2021
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
ICML 2021
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction
IJCAI 2021
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
IJCAI 2021
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder
IJCAI 2021
Non-Intrusive Speech Quality Assessment with Transfer Learning and Subject-Specific Scaling
Interspeech 2021
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
AISTATS 2021
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders
JMLR 2021
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
NeurIPS 2021
Nonmyopic Multifidelity Acitve Search
ICML 2021
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
ICML 2021
Non-Parallel Any-to-Many Voice Conversion by Replacing Speaker Statistics
Interspeech 2021
Nonparametric Decomposition of Sparse Tensors
ICML 2021
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
CVPR 2021