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)
Third-Party Aligner for Neural Word Alignments
EMNLP 2022
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
NeurIPS 2022
Thompson Sampling for Bandit Learning in Matching Markets
IJCAI 2022
Thompson Sampling for Robust Transfer in Multi-Task Bandits
ICML 2022
Thompson Sampling with a Mixture Prior
AISTATS 2022
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
CVPR 2022
TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages
NAACL 2022
TiGAN: Text-Based Interactive Image Generation and Manipulation
AAAI 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
NeurIPS 2022
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
NeurIPS 2022
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
NeurIPS 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints
NeurIPS 2022
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
AISTATS 2022
Time-aware Prompting for Text Generation
EMNLP 2022
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting
NeurIPS 2022
Time Is MattEr: Temporal Self-supervision for Video Transformers
ICML 2022
TimeLMs: Diachronic Language Models from Twitter
ACL 2022
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
CVPR 2022
Time Waits for No One! Analysis and Challenges of Temporal Misalignment
NAACL 2022
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation
EMNLP 2022
TLDR at SemEval-2022 Task 1: Using Transformers to Learn Dictionaries and Representations
SemEval 2022
TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network
Interspeech 2022
To Answer or Not To Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning
NAACL 2022
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems
Interspeech 2022
Tolerance is Necessary for Stability: Single-Peaked Swap Schelling Games
IJCAI 2022