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)
Single-Stage Semantic Segmentation From Image Labels
CVPR 2020
Single-Step Adversarial Training With Dropout Scheduling
CVPR 2020
Sinkhorn Regression
IJCAI 2020
SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task
EMNLP 2020
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis
ACL 2020
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt
CVPR 2020
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval
CVPR 2020
SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
WACV 2020
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
ICML 2020
Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory
JMLR 2020
SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection
SemEval 2020
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search
EMNLP 2020
Slice-Aware Neural Ranking
EMNLP 2020
Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations
ICLR 2020
SLICE: Supersense-based Lightweight Interpretable Contextual Embeddings
COLING 2020
SLM: Learning a Discourse Language Representation with Sentence Unshuffling
EMNLP 2020
Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network
ACL 2020
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection
CVPR 2020
Small but Mighty: New Benchmarks for Split and Rephrase
EMNLP 2020
Small-GAN: Speeding up GAN Training using Core-Sets
ICML 2020
Small Nash Equilibrium Certificates in Very Large Games
NeurIPS 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
ACL 2020
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection
AAAI 2020
Smooth And Consistent Probabilistic Regression Trees
NeurIPS 2020
Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes
COLT 2020