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)

OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection CVPR 2021 Open-Book Video Captioning With Retrieve-Copy-Generate Network CVPR 2021 Open-domain clarification question generation without question examples EMNLP 2021 Open Domain Generalization with Domain-Augmented Meta-Learning CVPR 2021 Open-Domain Question-Answering for COVID-19 and Other Emergent Domains EMNLP 2021 OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World CVPR 2021 Open-Vocabulary Object Detection Using Captions CVPR 2021 Open World Compositional Zero-Shot Learning CVPR 2021 Optimizing Reusable Knowledge for Continual Learning via Metalearning NeurIPS 2021 Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation AAAI 2021 ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning CVPR 2021 Orthogonal Over-Parameterized Training CVPR 2021 OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings EMNLP 2021 Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021 Overcoming Catastrophic Forgetting in Graph Neural Networks AAAI 2021 Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay AAAI 2021 Overcoming Conflicting Data when Updating a Neural Semantic Parser EMNLP 2021 Overcoming Poor Word Embeddings with Word Definitions ACL 2021 Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction AAAI 2021 Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks CVPR 2021 P3: Distributed Deep Graph Learning at Scale OSDI 2021 Pairing Weak with Strong: Twin Models for Defending Against Adversarial Attack on Speaker Verification Interspeech 2021 Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks IJCAI 2021 Pairwise Supervised Contrastive Learning of Sentence Representations EMNLP 2021 PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation CVPR 2021