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)
Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation
ICLR 2024
Negative Pre-aware for Noisy Cross-Modal Matching
AAAI 2024
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution
AAAI 2024
Neighborhood-Enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-Range Outdoor Scenes
AAAI 2024
Neighbor Similarity and Multimodal Alignment based Product Recommendation Study
UAI 2024
NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms
ACL 2024
NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack
AAAI 2024
NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs
CVPR 2024
NeRF Director: Revisiting View Selection in Neural Volume Rendering
CVPR 2024
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
AAAI 2024
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
AAAI 2024
NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics
NeurIPS 2024
Neural Active Learning Meets the Partial Monitoring Framework
UAI 2024
Neural Amortized Inference for Nested Multi-Agent Reasoning
AAAI 2024
Neural Architecture Search Finds Robust Models by Knowledge Distillation
UAI 2024
Neural Causal Abstractions
AAAI 2024
Neural Clustering based Visual Representation Learning
CVPR 2024
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
NeurIPS 2024
Neural Concept Binder
NeurIPS 2024
Neural Feature Learning in Function Space
JMLR 2024
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
AAAI 2024
Neural Image Compression Using Masked Sparse Visual Representation
WACV 2024
Neural Isometries: Taming Transformations for Equivariant ML
NeurIPS 2024
Neural Lemmatization and POS-tagging models for Coptic, Demotic and Earlier Egyptian
ACL 2024
Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
CVPR 2024