conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

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Papers (including subtopics)

MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization ACL 2020 MAVEN: A Massive General Domain Event Detection Dataset EMNLP 2020 Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles AAAI 2020 Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness NeurIPS 2020 MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model CVPR 2020 Measuring Forecasting Skill from Text ACL 2020 Medical Concept Normalization in User-Generated Texts by Learning Target Concept Embeddings EMNLP 2020 Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020 Memory Aggregation Networks for Efficient Interactive Video Object Segmentation CVPR 2020 Mention Extraction and Linking for SQL Query Generation EMNLP 2020 Meshlet Priors for 3D Mesh Reconstruction CVPR 2020 Meta-Amortized Variational Inference and Learning AAAI 2020 Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation AAAI 2020 Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining EMNLP 2020 MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation CVPR 2020 MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment CVPR 2020 Meta-Learning of Neural Architectures for Few-Shot Learning CVPR 2020 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes NeurIPS 2020 MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020 METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos CVPR 2020 MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation AAAI 2020 MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures NeurIPS 2020 Metaphor Detection using Context and Concreteness ACL 2020 Metaphor Detection Using Contextual Word Embeddings From Transformers ACL 2020 Metaphor Detection using Ensembles of Bidirectional Recurrent Neural Networks ACL 2020