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Learning Types

32,670 papers (1 classified directly here)

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)
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Papers (including subtopics)

Conditional Generative Adversarial Nets Classifier for Spoken Language Identification Interspeech 2017 Confident Multiple Choice Learning ICML 2017 Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification IJCAI 2017 Connecting Look and Feel: Associating the Visual and Tactile Properties of Physical Materials CVPR 2017 Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network CVPR 2017 Consistent Multitask Learning with Nonlinear Output Relations NeurIPS 2017 Context-Dependent Sentiment Analysis in User-Generated Videos ACL 2017 Context Selection for Embedding Models NeurIPS 2017 Continual Learning with Deep Generative Replay NeurIPS 2017 Controlling Human Perception of Basic User Traits EMNLP 2017 Convolutional Neural Network Architecture for Geometric Matching CVPR 2017 Count-Based Exploration with Neural Density Models ICML 2017 Countermeasures for Automatic Speaker Verification Replay Spoofing Attack : On Data Augmentation, Feature Representation, Classification and Fusion Interspeech 2017 Cross-lingual Distillation for Text Classification ACL 2017 Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation EMNLP 2017 Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources EMNLP 2017 Cross-Lingual Word Representations: Induction and Evaluation EMNLP 2017 Cross-Modality Binary Code Learning via Fusion Similarity Hashing CVPR 2017 Cross-View Image Matching for Geo-Localization in Urban Environments CVPR 2017 CTC in the Context of Generalized Full-Sum HMM Training Interspeech 2017 CTC Training of Multi-Phone Acoustic Models for Speech Recognition Interspeech 2017 Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization EACL 2017 Data Augmentation for Low-Resource Neural Machine Translation ACL 2017 Deal or No Deal? End-to-End Learning of Negotiation Dialogues EMNLP 2017 Deciphering Related Languages EMNLP 2017