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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)

Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding AAAI 2019 Few-Shot Learning via Saliency-Guided Hallucination of Samples CVPR 2019 Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019 Few-shot Video-to-Video Synthesis NeurIPS 2019 FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference CVPR 2019 Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection ACL 2019 Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection ACL 2019 Fill the GAP: Exploiting BERT for Pronoun Resolution ACL 2019 Filtering of Noisy Parallel Corpora Based on Hypothesis Generation ACL 2019 Findings of the First Shared Task on Machine Translation Robustness ACL 2019 Findings of the Third Workshop on Neural Generation and Translation EMNLP 2019 Finding Your Voice: The Linguistic Development of Mental Health Counselors ACL 2019 Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector AAAI 2019 FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery CVPR 2019 Fine-Grained Spoiler Detection from Large-Scale Review Corpora ACL 2019 Fine-Grained Temporal Relation Extraction ACL 2019 Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction ACL 2019 First Order Motion Model for Image Animation NeurIPS 2019 Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage CVPR 2019 Fixing the train-test resolution discrepancy NeurIPS 2019 FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions AAAI 2019 Flow-based Image-to-Image Translation with Feature Disentanglement NeurIPS 2019 FML: Face Model Learning From Videos CVPR 2019 Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification ACML 2019 Forecasting Firm Material Events from 8-K Reports EMNLP 2019