Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Predictive Dynamic Fusion
ICML 2024
PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding
CVPR 2024
Preference Alignment with Flow Matching
NeurIPS 2024
Preference Tuning For Toxicity Mitigation Generalizes Across Languages
EMNLP 2024
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model
ACL 2024
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference
NeurIPS 2024
Preserving Fairness Generalization in Deepfake Detection
CVPR 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction
EMNLP 2024
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
EMNLP 2024
PressureVision++: Estimating Fingertip Pressure From Diverse RGB Images
WACV 2024
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes
EMNLP 2024
Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts
EMNLP 2024
Pre-trained Large Language Models Use Fourier Features to Compute Addition
NeurIPS 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
AAAI 2024
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
NeurIPS 2024
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context
NeurIPS 2024
Pre-Training and Fine-Tuning Generative Flow Networks
ICLR 2024
Pretraining and Finetuning Language Models on Geospatial Networks for Accurate Address Matching
EMNLP 2024
Pre-training Differentially Private Models with Limited Public Data
NeurIPS 2024
Pre-training LiDAR-based 3D Object Detectors through Colorization
ICLR 2024
Pre-training with Synthetic Data Helps Offline Reinforcement Learning
ICLR 2024
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
AISTATS 2024
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
NeurIPS 2024
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
NeurIPS 2024
Previously on ... From Recaps to Story Summarization
CVPR 2024