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)
Accelerating Self-Supervised Learning via Efficient Training Strategies
WACV 2023
Accented Speech Recognition With Accent-specific Codebooks
EMNLP 2023
Accessing Higher Dimensions for Unsupervised Word Translation
NeurIPS 2023
Accommodating Audio Modality in CLIP for Multimodal Processing
AAAI 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
ICML 2023
Accuracy is not enough: Evaluating Personalization in Summarizers
EMNLP 2023
Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System
Interspeech 2023
Accurate Training of Web-based Question Answering Systems with Feedback from Ranked Users
ACL 2023
Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning
CVPR 2023
Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
ICLR 2023
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
AAAI 2023
A Class-Rebalancing Self-Training Framework for Distantly-Supervised Named Entity Recognition
ACL 2023
ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning
AAAI 2023
A Closer Look at Self-Supervised Lightweight Vision Transformers
ICML 2023
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
NeurIPS 2023
A Closer Look into Using Large Language Models for Automatic Evaluation
EMNLP 2023
ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion
CVPR 2023
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
ICLR 2023
A Compact End-to-End Model with Local and Global Context for Spoken Language Identification
Interspeech 2023
A Comparative Analysis of the Effectiveness of Rare Tokens on Creative Expression using ramBERT
ACL 2023
A Comparative Study of Prompting Strategies for Legal Text Classification
EMNLP 2023
A Compare-and-contrast Multistage Pipeline for Uncovering Financial Signals in Financial Reports
ACL 2023
A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images
MIDL 2023
A Competitive Algorithm for Agnostic Active Learning
NeurIPS 2023
A Complete Characterization of Linear Estimators for Offline Policy Evaluation
JMLR 2023