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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)

Neural Similarity Learning NeurIPS 2019 Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration CVPR 2019 Neural Temporal-Difference Learning Converges to Global Optima NeurIPS 2019 Neural Topic Model with Reinforcement Learning EMNLP 2019 Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia Interspeech 2019 Neural Word Decomposition Models for Abusive Language Detection ACL 2019 NICT’s participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT EMNLP 2019 NICT’s Supervised Neural Machine Translation Systems for the WMT19 News Translation Task ACL 2019 NICT’s Supervised Neural Machine Translation Systems for the WMT19 Translation Robustness Task ACL 2019 NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task ACL 2019 NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection EMNLP 2019 NLPRL at WAT2019: Transformer-based Tamil – English Indic Task Neural Machine Translation System EMNLP 2019 NLP@UNED at SMM4H 2019: Neural Networks Applied to Automatic Classifications of Adverse Effects Mentions in Tweets ACL 2019 NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences CVPR 2019 No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects ACL 2019 Noise2Void - Learning Denoising From Single Noisy Images CVPR 2019 Noise-Aware Unsupervised Deep Lidar-Stereo Fusion CVPR 2019 Noise Contrastive Priors for Functional Uncertainty UAI 2019 Noise-Tolerant Paradigm for Training Face Recognition CNNs CVPR 2019 Noisy Channel for Low Resource Grammatical Error Correction ACL 2019 Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors CVPR 2019 Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input AAAI 2019 Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics NeurIPS 2019 Nonparallel Emotional Speech Conversion Interspeech 2019 Normalized Diversification CVPR 2019