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)
Turning 30: New Ideas in Inductive Logic Programming
IJCAI 2020
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks
AAAI 2020
Two-branch Recurrent Network for Isolating Deepfakes in Videos
ECCV 2020
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation
AAAI 2020
Two-sample Testing Using Deep Learning
AISTATS 2020
Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
JMLR 2020
Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection
IJCAI 2020
Two-Stage Polyphonic Sound Event Detection Based on Faster R-CNN-LSTM with Multi-Token Connectionist Temporal Classification
Interspeech 2020
Two-Step Classification using Recasted Data for Low Resource Settings
AACL 2020
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP
UAI 2020
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories
ACL 2020
uBLEU: Uncertainty-Aware Automatic Evaluation Method for Open-Domain Dialogue Systems
ACL 2020
UCF-STAR: A Large Scale Still Image Dataset for Understanding Human Actions
AAAI 2020
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
CVPR 2020
UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation
CVPR 2020
UDapter: Language Adaptation for Truly Universal Dependency Parsing
EMNLP 2020
UdS-DFKI@WMT20: Unsupervised MT and Very Low Resource Supervised MT for German-Upper Sorbian
EMNLP 2020
UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa
EMNLP 2020
Ultrasound-Based Articulatory-to-Acoustic Mapping with WaveGlow Speech Synthesis
Interspeech 2020
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
CVPR 2020
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels
ICML 2020
Uncertain Natural Language Inference
ACL 2020
Uncertainty and Traffic-Aware Active Learning for Semantic Parsing
EMNLP 2020
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
AAAI 2020
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End
CVPR 2020