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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'10
'15
'20
'25
Papers (including subtopics)
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
CVPR 2024
From Hate Speech to Societal Empowerment: A Pedagogical Journey Through Computational Thinking and NLP for High School Students
ACL 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
NeurIPS 2024
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding
CVPR 2024
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
ICLR 2024
From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications
ACL 2024
From N-grams to Pre-trained Multilingual Models For Language Identification
EMNLP 2024
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models
CVPR 2024
From Pixels to Metal: AI-Empowered Numismatic Art
IJCAI 2024
From Posterior Sampling to Meaningful Diversity in Image Restoration
ICLR 2024
From RAG to Riches: Retrieval Interlaced with Sequence Generation
EMNLP 2024
From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation
CVPR 2024
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
NAACL 2024
From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News
IJCAI 2024
From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Items
EMNLP 2024
From Text Segmentation to Enhanced Representation Learning: A Novel Approach to Multi-Label Classification for Long Texts
EMNLP 2024
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis
EMNLP 2024
From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks
AAAI 2024
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
NeurIPS 2024
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
NeurIPS 2024
From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation
ICML 2024
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning
ECCV 2024
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
CVPR 2024
Frozen CLIP Transformer Is an Efficient Point Cloud Encoder
AAAI 2024
Frozen Feature Augmentation for Few-Shot Image Classification
CVPR 2024