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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'20
'25
Papers (including subtopics)
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models
NAACL 2024
Simulating Opinion Dynamics with Networks of LLM-based Agents
NAACL 2024
SINAI at BioLaySumm: Self-Play Fine-Tuning of Large Language Models for Biomedical Lay Summarisation
ACL 2024
SINAI at SemEval-2024 Task 8: Fine-tuning on Words and Perplexity as Features for Detecting Machine Written Text
SemEval 2024
Single Domain Generalization for Crowd Counting
CVPR 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
NeurIPS 2024
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
NeurIPS 2024
Single View Refractive Index Tomography with Neural Fields
CVPR 2024
Single-View Scene Point Cloud Human Grasp Generation
CVPR 2024
SingOMD: Singing Oriented Multi-resolution Discrete Representation Construction from Speech Models
Interspeech 2024
SirLLM: Streaming Infinite Retentive LLM
ACL 2024
SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning
ICML 2024
SJTU System Description for the WMT24 Low-Resource Languages of Spain Task
EMNLP 2024
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning
CVPR 2024
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information
NeurIPS 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
NeurIPS 2024
SKICSE: Sentence Knowable Information Prompted by LLMs Improves Contrastive Sentence Embeddings
NAACL 2024
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
NeurIPS 2024
Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning
NeurIPS 2024
Skill or Luck? Return Decomposition via Advantage Functions
ICLR 2024
Skills-in-Context: Unlocking Compositionality in Large Language Models
EMNLP 2024
Skip-GANomaly++: Skip Connections and Residual Blocks for Anomaly Detection (Student Abstract)
AAAI 2024
Skoltech at TextGraphs-17 Shared Task: Finding GPT-4 Prompting Strategies for Multiple Choice Questions
ACL 2024
SkOTaPA: A Dataset for Skepticism Detection in Online Text after Persuasion Attempt
COLING 2024
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
CVPR 2024