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)
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
ICLR 2024
Hyperbolic Anomaly Detection
CVPR 2024
Hyperbolic Learning with Synthetic Captions for Open-World Detection
CVPR 2024
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin
WACV 2024
Hyper-CL: Conditioning Sentence Representations with Hypernetworks
ACL 2024
Hypercorrelation Evolution for Video Class-Incremental Learning
AAAI 2024
Hypergraph-Based Session Modeling: A Multi-Collaborative Self-Supervised Approach for Enhanced Recommender Systems
COLING 2024
Hypergraph-enhanced Dual Semi-supervised Graph Classification
ICML 2024
Hypergraph Self-supervised Learning with Sampling-efficient Signals
IJCAI 2024
HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation
EMNLP 2024
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts
ACL 2024
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection
NeurIPS 2024
Hypothesis Generation with Large Language Models
EMNLP 2024
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood
AAAI 2024
hyy33 at WASSA 2024 Empathy and Personality Shared Task: Using the CombinedLoss and FGM for Enhancing BERT-based Models in Emotion and Empathy Prediction from Conversation Turns
ACL 2024
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
NeurIPS 2024
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples
NAACL 2024
I am a Strange Dataset: Metalinguistic Tests for Language Models
ACL 2024
IASBS at SemEval-2024 Task 10: Delving into Emotion Discovery and Reasoning in Code-Mixed Conversations
SemEval 2024
ICAR: Image-Based Complementary Auto Reasoning
AAAI 2024
ICE-Score: Instructing Large Language Models to Evaluate Code
EACL 2024
ICF-SRSR: Invertible Scale-Conditional Function for Self-Supervised Real-World Single Image Super-Resolution
WACV 2024
ICL: Iterative Continual Learning for Multi-domain Neural Machine Translation
EMNLP 2024
I Could’ve Asked That: Reformulating Unanswerable Questions
EMNLP 2024
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification
NAACL 2024