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)
NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components
IJCAI 2024
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution
AAAI 2024
Neighboring Perturbations of Knowledge Editing on Large Language Models
ICML 2024
NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communication
CoNLL 2024
NeoRL: Efficient Exploration for Nonepisodic RL
NeurIPS 2024
NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack
AAAI 2024
NeRF Director: Revisiting View Selection in Neural Volume Rendering
CVPR 2024
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
ECCV 2024
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
CVPR 2024
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
NSDI 2024
Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokes
CVPR 2024
Neural Active Learning Beyond Bandits
ICLR 2024
Neural Architecture Retrieval
ICLR 2024
Neural Blind Source Separation and Diarization for Distant Speech Recognition
Interspeech 2024
Neural Causal Abstractions
AAAI 2024
Neural Clustering based Visual Representation Learning
CVPR 2024
Neural Codec-based Adversarial Sample Detection for Speaker Verification
Interspeech 2024
Neural Compression Augmentation for Contrastive Audio Representation Learning
Interspeech 2024
Neural Concept Binder
NeurIPS 2024
Neural Conditional Probability for Uncertainty Quantification
NeurIPS 2024
Neural Embeddings for kNN Search in Biological Sequence
AAAI 2024
Neural Embeddings Rank: Aligning 3D latent dynamics with movements
NeurIPS 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
NeurIPS 2024
Neural Isometries: Taming Transformations for Equivariant ML
NeurIPS 2024
Neural Language of Thought Models
ICLR 2024