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

'15

'20

'25

Papers (including subtopics)

Point-of-Interest Type Prediction using Text and Images EMNLP 2021 Points As Queries: Weakly Semi-Supervised Object Detection by Points CVPR 2021 PolarStream: Streaming Object Detection and Segmentation with Polar Pillars NeurIPS 2021 Policy Learning Using Weak Supervision NeurIPS 2021 Polygonal Building Extraction by Frame Field Learning CVPR 2021 Polygonal Point Set Tracking CVPR 2021 PolyLM: Learning about Polysemy through Language Modeling EACL 2021 POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples NeurIPS 2021 PopSkipJump: Decision-Based Attack for Probabilistic Classifiers ICML 2021 PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation CVPR 2021 PoseBlocks: A Toolkit for Creating (and Dancing) with AI AAAI 2021 Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation CVPR 2021 POSEFusion: Pose-Guided Selective Fusion for Single-View Human Volumetric Capture CVPR 2021 Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction ACL 2021 Positive-Congruent Training: Towards Regression-Free Model Updates CVPR 2021 Positive Sample Propagation Along the Audio-Visual Event Line CVPR 2021 Positive-Unlabeled Data Purification in the Wild for Object Detection CVPR 2021 Post-Editing Extractive Summaries by Definiteness Prediction EMNLP 2021 Posterior Meta-Replay for Continual Learning NeurIPS 2021 Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis CVPR 2021 Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer EMNLP 2021 Power up! Robust Graph Convolutional Network via Graph Powering AAAI 2021 PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation Interspeech 2021 Practical Relative Order Attack in Deep Ranking ICCV 2021 Practical Wide-Angle Portraits Correction With Deep Structured Models CVPR 2021