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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'10
'15
'20
'25
Papers (including subtopics)
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats
IJCAI 2023
Fine-Context Shadow Detection Using Shadow Removal
WACV 2023
Fine-Grained Activities of People Worldwide
WACV 2023
Fine-Grained Classification With Noisy Labels
CVPR 2023
Fine-Grained Retrieval Prompt Tuning
AAAI 2023
Fine-grained Text Style Transfer with Diffusion-Based Language Models
ACL 2023
Fine-grained Unsupervised Domain Adaptation for Gait Recognition
ICCV 2023
Fine-Grained Visual Prompting
NeurIPS 2023
FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4
EMNLP 2023
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?
IJCAI 2023
Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models
CVPR 2023
Fine-tuning Audio Spectrogram Transformer with Task-aware Adapters for Sound Event Detection
Interspeech 2023
Finetuning Offline World Models in the Real World
CoRL 2023
Fine-tuning Sentence-RoBERTa to Construct Word Embeddings for Low-resource Languages from Bilingual Dictionaries
ACL 2023
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
NeurIPS 2023
FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression
NeurIPS 2023
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits
NeurIPS 2023
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
ICCV 2023
FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering
AAAI 2023
Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data
AISTATS 2023
Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances
UAI 2023
Fixed Input Parameterization for Efficient Prompting
ACL 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
AISTATS 2023
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation
ACL 2023
Flaky Performances When Pretraining on Relational Databases (Student Abstract)
AAAI 2023