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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)

PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds CVPR 2019 Point in, Box Out: Beyond Counting Persons in Crowds CVPR 2019 Pointing Novel Objects in Image Captioning CVPR 2019 PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud CVPR 2019 Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval CVPR 2019 Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features AAAI 2019 Posterior Attention Models for Sequence to Sequence Learning ICLR 2019 Practical Full Resolution Learned Lossless Image Compression CVPR 2019 Practical Obstacles to Deploying Active Learning EMNLP 2019 Predicting Concrete and Abstract Entities in Modern Poetry AAAI 2019 Predicting Discourse Structure using Distant Supervision from Sentiment EMNLP 2019 Predicting Future Frames Using Retrospective Cycle GAN CVPR 2019 Predicting Historical Phonetic Features using Deep Neural Networks: A Case Study of the Phonetic System of Proto-Indo-European ACL 2019 Predicting Human Activities from User-Generated Content ACL 2019 Predicting Humor by Learning from Time-Aligned Comments Interspeech 2019 Prediction of a Movie’s Success From Plot Summaries Using Deep Learning Models ACL 2019 Preemptive Toxic Language Detection in Wikipedia Comments Using Thread-Level Context ACL 2019 Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following ACL 2019 Pretrained Ensemble Learning for Fine-Grained Propaganda Detection EMNLP 2019 Pretraining Methods for Dialog Context Representation Learning ACL 2019 Private Model Compression via Knowledge Distillation AAAI 2019 PRNet: Self-Supervised Learning for Partial-to-Partial Registration NeurIPS 2019 Probabilistic Forecasting with Spline Quantile Function RNNs AISTATS 2019 Probability Distillation: A Caveat and Alternatives UAI 2019 Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings ACL 2019