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 Asymmetric Multi-task Feature Learning ICML 2018 Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection ICLR 2018 Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018 Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling ICLR 2018 Deep Clustering for Unsupervised Learning of Visual Features ECCV 2018 Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift CVPR 2018 Deep contextualized word representations for detecting sarcasm and irony EMNLP 2018 Deep Convolutional Neural Network with Scalogram for Audio Scene Modeling Interspeech 2018 Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification ACML 2018 Deep Defense: Training DNNs with Improved Adversarial Robustness NeurIPS 2018 Deep Density Clustering of Unconstrained Faces CVPR 2018 Deep Dirichlet Multinomial Regression NAACL 2018 DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning NeurIPS 2018 Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking ICLR 2018 Deep Generative Models with Learnable Knowledge Constraints NeurIPS 2018 Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks IJCAI 2018 Deep Learning based Situated Goal-oriented Dialogue Systems Interspeech 2018 Deep learning evaluation using deep linguistic processing NAACL 2018 Deep Learning Techniques for Koala Activity Detection Interspeech 2018 Deep Learning with Logged Bandit Feedback ICLR 2018 Deeply Fused Speaker Embeddings for Text-Independent Speaker Verification Interspeech 2018 Deep Multi-instance Learning with Dynamic Pooling ACML 2018 Deep Multi-View Concept Learning IJCAI 2018 Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts Interspeech 2018 Deep One-Class Classification ICML 2018