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)
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis
CVPR 2024
DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction
CVPR 2024
DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model
NeurIPS 2024
Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
CVPR 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
NeurIPS 2024
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
NeurIPS 2024
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
NeurIPS 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
NeurIPS 2024
Diffusion Imitation from Observation
NeurIPS 2024
Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
NeurIPS 2024
Diffusion Language Models Are Versatile Protein Learners
ICML 2024
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification
AAAI 2024
Diffusion Mask-Driven Visual-language Tracking
IJCAI 2024
Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning
RSS 2024
Diffusion Model Alignment Using Direct Preference Optimization
CVPR 2024
Diffusion Models are Certifiably Robust Classifiers
NeurIPS 2024
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
ICML 2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
NeurIPS 2024
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
CVPR 2024
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation
EACL 2024
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
NeurIPS 2024
DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion
CVPR 2024
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance
CVPR 2024
Diffusion-Reward Adversarial Imitation Learning
NeurIPS 2024
Diffusion Synthesizer for Efficient Multilingual Speech to Speech Translation
Interspeech 2024