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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)

Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction EMNLP 2019 Low Frequency Adversarial Perturbation UAI 2019 Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning EMNLP 2019 Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings ACL 2019 Low-resource Deep Entity Resolution with Transfer and Active Learning ACL 2019 Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations EMNLP 2019 LSTA: Long Short-Term Attention for Egocentric Action Recognition CVPR 2019 MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction ACL 2019 Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game AAAI 2019 Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness EMNLP 2019 Machine Translation With Weakly Paired Documents EMNLP 2019 MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment CVPR 2019 ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features CVPR 2019 Many Task Learning With Task Routing ICCV 2019 Mapping State Space using Landmarks for Universal Goal Reaching NeurIPS 2019 Marginalized Latent Semantic Encoder for Zero-Shot Learning CVPR 2019 Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings ACL 2019 Mask Scoring R-CNN CVPR 2019 Massively Multilingual Transfer for NER ACL 2019 Matching the Blanks: Distributional Similarity for Relation Learning ACL 2019 Matrix Completion for Graph-Based Deep Semi-Supervised Learning AAAI 2019 MBS: Macroblock Scaling for CNN Model Reduction CVPR 2019 MEAL: Multi-Model Ensemble via Adversarial Learning AAAI 2019 Memory-Attended Recurrent Network for Video Captioning CVPR 2019 Memory-Augmented Temporal Dynamic Learning for Action Recognition AAAI 2019