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)
Joint Learning of Context and Feedback Embeddings in Spoken Dialogue
Interspeech 2024
JointMotion: Joint Self-Supervision for Joint Motion Prediction
CoRL 2024
Joint-Task Regularization for Partially Labeled Multi-Task Learning
CVPR 2024
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning
COLING 2024
JRC at ClimateActivism 2024: Lexicon-based Detection of Hate Speech
EACL 2024
JSI and WüNLP at the DIALECT-COPA Shared Task: In-Context Learning From Just a Few Dialectal Examples Gets You Quite Far
NAACL 2024
JudithJeyafreeda_StressIdent_LT-EDI@EACL2024: GPT for stress identification
EACL 2024
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
ICLR 2024
Jump Starting Bandits with LLM-Generated Prior Knowledge
EMNLP 2024
Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
NeurIPS 2024
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios
ACL 2024
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations
ICML 2024
Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning
WACV 2024
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
NeurIPS 2024
KAUCUS - Knowledgeable User Simulators for Training Large Language Models
EACL 2024
KazSAnDRA: Kazakh Sentiment Analysis Dataset of Reviews and Attitudes
COLING 2024
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
EMNLP 2024
KCL: Few-shot Named Entity Recognition with Knowledge Graph and Contrastive Learning
COLING 2024
KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning
NAACL 2024
Keep, Delete, or Substitute: Frame Selection Strategy for Noise-Robust Speech Emotion Recognition
Interspeech 2024
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
NeurIPS 2024
Keep it Private: Unsupervised Privatization of Online Text
NAACL 2024
Kermut: Composite kernel regression for protein variant effects
NeurIPS 2024
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models
PGM 2024
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
NeurIPS 2024