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

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Papers (including subtopics)

Mining Better Samples for Contrastive Learning of Temporal Correspondence CVPR 2021 MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation AAAI 2021 MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question Answering EMNLP 2021 MiSS@WMT21: Contrastive Learning-reinforced Domain Adaptation in Neural Machine Translation EMNLP 2021 MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection CVPR 2021 MIST: Multiple Instance Spatial Transformer CVPR 2021 Mitigating Forgetting in Online Continual Learning with Neuron Calibration NeurIPS 2021 Mitigation of Diachronic Bias in Fake News Detection Dataset EMNLP 2021 MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data NeurIPS 2021 Mixup Decoding for Diverse Machine Translation EMNLP 2021 MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract) AAAI 2021 MMTAfrica: Multilingual Machine Translation for African Languages EMNLP 2021 Mobile-based Clock Drawing Test for Detecting Early Signs of Dementia AAAI 2021 MobileDets: Searching for Object Detection Architectures for Mobile Accelerators CVPR 2021 MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space ICLR 2021 Model-Aware Gesture-to-Gesture Translation CVPR 2021 Model-Based 3D Hand Reconstruction via Self-Supervised Learning CVPR 2021 Model-Based Domain Generalization NeurIPS 2021 Model-Based Reinforcement Learning via Latent-Space Collocation ICML 2021 Model-Contrastive Federated Learning CVPR 2021 Modeling and Training Strategies for Language Recognition Systems Interspeech 2021 Modeling Deep Learning Based Privacy Attacks on Physical Mail AAAI 2021 Modeling Document-Level Context for Event Detection via Important Context Selection EMNLP 2021 Modeling Endorsement for Multi-Document Abstractive Summarization EMNLP 2021 Modeling Entity Knowledge for Fact Verification EMNLP 2021