Skip to content
conftrace_

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
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Deep Hyperalignment NeurIPS 2017 Deep Joint Entity Disambiguation with Local Neural Attention EMNLP 2017 Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction ICML 2017 Deep Multiple Instance Hashing for Object-based Image Retrieval IJCAI 2017 Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring CVPR 2017 Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks NeurIPS 2017 Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction EMNLP 2017 Deep Multitask Learning for Semantic Dependency Parsing ACL 2017 Deep Ordinal Regression Based on Data Relationship for Small Datasets IJCAI 2017 DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning EMNLP 2017 DeepPermNet: Visual Permutation Learning CVPR 2017 Deep Reinforcement Learning from Human Preferences NeurIPS 2017 Deep Representation Learning for Human Motion Prediction and Classification CVPR 2017 Deep Residual Learning for Weakly-Supervised Relation Extraction EMNLP 2017 Deep Self-Taught Learning for Weakly Supervised Object Localization CVPR 2017 Deep Sequential Context Networks for Action Prediction CVPR 2017 Deep Sets NeurIPS 2017 Deep Spectral Clustering Learning ICML 2017 Deep Subspace Clustering Networks NeurIPS 2017 Deep Temporal Linear Encoding Networks CVPR 2017 Deep Transfer Learning with Joint Adaptation Networks ICML 2017 Deep Unsupervised Similarity Learning Using Partially Ordered Sets CVPR 2017 Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks CoNLL 2017 Delexicalized Word Embeddings for Cross-lingual Dependency Parsing EACL 2017 Demographic Inference on Twitter using Recursive Neural Networks ACL 2017