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)
Re-TACRED: Addressing Shortcomings of the TACRED Dataset
AAAI 2021
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning
IJCAI 2021
Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning.
ICCV 2021
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization
NeurIPS 2021
Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning
CVPR 2021
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
NeurIPS 2021
Rethinking Denoised Auto-Encoding in Language Pre-Training
EMNLP 2021
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding
Interspeech 2021
Rethinking Graph Regularization for Graph Neural Networks
AAAI 2021
Rethinking Neural Operations for Diverse Tasks
NeurIPS 2021
Rethinking Object Detection in Retail Stores
AAAI 2021
Rethinking Self-Supervised Correspondence Learning: A Video Frame-Level Similarity Perspective
ICCV 2021
Rethinking the Objectives of Extractive Question Answering
EMNLP 2021
Rethinking the Truly Unsupervised Image-to-Image Translation
ICCV 2021
Rethinking Why Intermediate-Task Fine-Tuning Works
EMNLP 2021
Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables
EMNLP 2021
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs
IJCAI 2021
Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement
CVPR 2021
[RETRACTED] DMix: Distance Constrained Interpolative Mixup
EMNLP 2021
[RETRACTED] Sequence Mixup for Zero-Shot Cross-Lingual Part-Of-Speech Tagging
EMNLP 2021
[RETRACTED] WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue
ACL 2021
Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning
EMNLP 2021
Retrieve and Revise: Improving Peptide Identification with Similar Mass Spectra
AAAI 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
NeurIPS 2021
Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots
EMNLP 2021