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)

Distributional Modeling on a Diet: One-shot Word Learning from Text Only IJCNLP 2017 Diversity driven attention model for query-based abstractive summarization ACL 2017 DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification Interspeech 2017 DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface Interspeech 2017 DNN Bottleneck Features for Speaker Clustering Interspeech 2017 Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension EMNLP 2017 Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network IJCNLP 2017 Domain Adaptation of PLDA Models in Broadcast Diarization by Means of Unsupervised Speaker Clustering Interspeech 2017 Don’t Count on ASR to Transcribe for You: Breaking Bias with Two Crowds Interspeech 2017 Don’t Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers EACL 2017 Draw and Tell: Multimodal Descriptions Outperform Verbal- or Sketch-Only Descriptions in an Image Retrieval Task IJCNLP 2017 DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework IJCAI 2017 DropoutNet: Addressing Cold Start in Recommender Systems NeurIPS 2017 Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis NeurIPS 2017 Dual Discriminator Generative Adversarial Nets NeurIPS 2017 Dualing GANs NeurIPS 2017 Dual Supervised Learning ICML 2017 Duluth at SemEval-2017 Task 6: Language Models in Humor Detection SemEval 2017 Dynamic Data Selection for Neural Machine Translation EMNLP 2017 Dynamic-Depth Context Tree Weighting NeurIPS 2017 Dynamic Multi-Task Learning with Convolutional Neural Network IJCAI 2017 Dynamic Multi-View Hashing for Online Image Retrieval IJCAI 2017 Dynamic Revenue Sharing NeurIPS 2017 Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning NeurIPS 2017 Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift IJCAI 2017