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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)

An Unsupervised Autoregressive Model for Speech Representation Learning Interspeech 2019 A Parametric Top-View Representation of Complex Road Scenes CVPR 2019 APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs CVPR 2019 APE at Scale and Its Implications on MT Evaluation Biases ACL 2019 A Perceptual Prediction Framework for Self Supervised Event Segmentation CVPR 2019 APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task ACL 2019 Approaching SMM4H with Merged Models and Multi-task Learning ACL 2019 Approximate Feature Collisions in Neural Nets NeurIPS 2019 Approximating the Permanent by Sampling from Adaptive Partitions NeurIPS 2019 A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection EMNLP 2019 A Prism Module for Semantic Disentanglement in Name Entity Recognition ACL 2019 Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features ACL 2019 Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations ACL 2019 ARAML: A Stable Adversarial Training Framework for Text Generation EMNLP 2019 ArcFace: Additive Angular Margin Loss for Deep Face Recognition CVPR 2019 Are Disentangled Representations Helpful for Abstract Visual Reasoning? NeurIPS 2019 Are Labels Required for Improving Adversarial Robustness? NeurIPS 2019 Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets EMNLP 2019 Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection ACL 2019 Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network ACL 2019 ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal ICCV 2019 Argument Generation with Retrieval, Planning, and Realization ACL 2019 Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation CVPR 2019 A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection EMNLP 2019 A Semantics-based Model for Predicting Children's Vocabulary IJCAI 2019