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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)

You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection CVPR 2019 ZCU-NLP at MADAR 2019: Recognizing Arabic Dialects ACL 2019 Zero-Resource Neural Machine Translation with Monolingual Pivot Data EMNLP 2019 Zero-Shot Adaptive Transfer for Conversational Language Understanding AAAI 2019 Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention ACL 2019 Zero-Shot Cross-lingual Name Retrieval for Low-Resource Languages EMNLP 2019 Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations EMNLP 2019 Zero-shot Knowledge Transfer via Adversarial Belief Matching NeurIPS 2019 Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference AAAI 2019 Zero-shot Learning via Simultaneous Generating and Learning NeurIPS 2019 Zero-Shot Neural Transfer for Cross-Lingual Entity Linking AAAI 2019 Zero-Shot Object Detection with Textual Descriptions AAAI 2019 Zero-Shot Semantic Segmentation NeurIPS 2019 Zero-shot Word Sense Disambiguation using Sense Definition Embeddings ACL 2019 ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation CVPR 2019 Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination CVPR 2019 2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning CVPR 2018 3D Human Pose Estimation in the Wild by Adversarial Learning CVPR 2018 A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping CVPR 2018 A Bayesian Approach to Generative Adversarial Imitation Learning NeurIPS 2018 A Bi-Directional Message Passing Model for Salient Object Detection CVPR 2018 A Case Study on Learning a Unified Encoder of Relations EMNLP 2018 Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018 Accurate Uncertainties for Deep Learning Using Calibrated Regression ICML 2018 A Challenge Set and Methods for Noun-Verb Ambiguity EMNLP 2018