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)
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation
ICCV 2021
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
ICML 2021
Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages
EMNLP 2021
SmallER: Scaling Neural Entity Resolution for Edge Devices
Interspeech 2021
Small Model and In-Domain Data Are All You Need
EMNLP 2021
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation
CVPR 2021
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping
CVPR 2021
S-NLP at SemEval-2021 Task 5: An Analysis of Dual Networks for Sequence Tagging
SemEval 2021
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution With Skip-Transformer
ICCV 2021
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
NeurIPS 2021
Social NCE: Contrastive Learning of Socially-Aware Motion Representations
ICCV 2021
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
CVPR 2021
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer
ACL 2021
Softmax Policy Gradient Methods Can Take Exponential Time to Converge
COLT 2021
SOLAR: Sparse Orthogonal Learned and Random Embeddings
ICLR 2021
SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection
CVPR 2021
Solving Aspect Category Sentiment Analysis as a Text Generation Task
EMNLP 2021
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
ICML 2021
Solving Inefficiency of Self-Supervised Representation Learning
ICCV 2021
Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract)
AAAI 2021
“Something Something Hota Hai!” An Explainable Approach towards Sentiment Analysis on Indian Code-Mixed Data
EMNLP 2021
Sometimes We Want Ungrammatical Translations
EMNLP 2021
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint
AAAI 2021
SOPE: Spectrum of Off-Policy Estimators
NeurIPS 2021
SORNet: Spatial Object-Centric Representations for Sequential Manipulation
CoRL 2021