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)
Iterate Averaging in the Quest for Best Test Error
JMLR 2024
Iterated Learning Improves Compositionality in Large Vision-Language Models
CVPR 2024
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
NeurIPS 2024
Iterative Prototype Refinement for Ambiguous Speech Emotion Recognition
Interspeech 2024
It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension
ACL 2024
It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance
ACL 2024
It’s All Relative! – A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction
NAACL 2024
IUST-NLPLAB at SemEval-2024 Task 9: BRAINTEASER By MPNet (Sentence Puzzle)
SemEval 2024
IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing
NeurIPS 2024
Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model
CVPR 2024
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters
NeurIPS 2024
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
ICLR 2024
JCoLA: Japanese Corpus of Linguistic Acceptability
COLING 2024
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation
CVPR 2024
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing
EMNLP 2024
Jigsaw Pieces of Meaning: Modeling Discourse Coherence with Informed Negative Sample Synthesis
EACL 2024
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
NeurIPS 2024
JL-Hate: An Annotated Dataset for Joint Learning of Hate Speech and Target Detection
COLING 2024
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models
SemEval 2024
JOADAA: Joint Online Action Detection and Action Anticipation
WACV 2024
JoAPR: Cleaning the Lens of Prompt Learning for Vision-Language Models
CVPR 2024
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models
EMNLP 2024
Joint Demosaicing and Denoising for Spike Camera
AAAI 2024
Joint Domain Adaptive Graph Convolutional Network
IJCAI 2024
Joint Input and Output Coordination for Class-Incremental Learning
IJCAI 2024