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)
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation
CVPR 2024
Summarizing Stream Data for Memory-Constrained Online Continual Learning
AAAI 2024
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
EMNLP 2024
Sum-max Submodular Bandits
AISTATS 2024
SumSurvey: An Abstractive Dataset of Scientific Survey Papers for Long Document Summarization
ACL 2024
SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization
NAACL 2024
SuperDeepFool: a new fast and accurate minimal adversarial attack
NeurIPS 2024
Super donors and super recipients: Studying cross-lingual transfer between high-resource and low-resource languages
ACL 2024
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
ACL 2024
SuperPrimitive: Scene Reconstruction at a Primitive Level
CVPR 2024
SuperST: Superficial Self-Training for Few-Shot Text Classification
COLING 2024
Supervised Anomaly Detection for Complex Industrial Images
CVPR 2024
Supervised Knowledge Makes Large Language Models Better In-context Learners
ICLR 2024
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering
AAAI 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
CVPR 2024
Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
ICML 2024
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
EMNLP 2024
SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking
NeurIPS 2024
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation
AAAI 2024
Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese
EMNLP 2024
Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse
EACL 2024
Surveying the Technology Support of Languages
COLING 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution
EMNLP 2024
SussexAI at ArAIEval Shared Task: Mitigating Class Imbalance in Arabic Propaganda Detection
ACL 2024
Sustainability of Data Center Digital Twins with Reinforcement Learning
AAAI 2024