Learning Types
56,254 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 (1,984)
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
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
ICCV 2023
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning
JMLR 2023
Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory
COLT 2023
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection
CVPR 2023
Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification
EMNLP 2023
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding
AAAI 2023
Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation
CVPR 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
NeurIPS 2023
InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators
EMNLP 2023
InstructExcel: A Benchmark for Natural Language Instruction in Excel
EMNLP 2023
Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives
NeurIPS 2023
Instruction Induction: From Few Examples to Natural Language Task Descriptions
ACL 2023
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis
ACL 2023
InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models
EMNLP 2023
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization
EMNLP 2023
Instrumental Variable Estimation of Average Partial Causal Effects
ICML 2023
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval
ICCV 2023
INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition
ACL 2023
Integrally Pre-Trained Transformer Pyramid Networks
CVPR 2023
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations
Interspeech 2023
Integrating Prior Knowledge in Contrastive Learning with Kernel
ICML 2023
Intelligible Lip-to-Speech Synthesis with Speech Units
Interspeech 2023
InteMATs: Integrating Granularity-Specific Multilingual Adapters for Cross-Lingual Transfer
EMNLP 2023
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery
EMNLP 2023
Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data
IJCAI 2023