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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'20

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Papers (including subtopics)

Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization EMNLP 2019 Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion NeurIPS 2019 Deep Robust Subjective Visual Property Prediction in Crowdsourcing CVPR 2019 Deep Robust Unsupervised Multi-Modal Network AAAI 2019 Deep Set Prediction Networks NeurIPS 2019 Deep Signature Transforms NeurIPS 2019 Deep Single Image Camera Calibration With Radial Distortion CVPR 2019 Deep Single-View 3D Object Reconstruction with Visual Hull Embedding AAAI 2019 Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing CVPR 2019 Deep Structured Prediction for Facial Landmark Detection NeurIPS 2019 Deep Supervised Cross-Modal Retrieval CVPR 2019 Deep Surface Normal Estimation With Hierarchical RGB-D Fusion CVPR 2019 Deep Topic Models for Multi-label Learning AISTATS 2019 Deep Transfer Learning for Multiple Class Novelty Detection CVPR 2019 Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI AAAI 2019 DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision NeurIPS 2019 Deep Value Model Predictive Control CoRL 2019 Deep Video Frame Interpolation Using Cyclic Frame Generation AAAI 2019 DeepView: View Synthesis With Learned Gradient Descent CVPR 2019 Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks CVPR 2019 DeepVoxels: Learning Persistent 3D Feature Embeddings CVPR 2019 Defending Against Adversarial Attacks by Randomized Diversification CVPR 2019 Defending Neural Backdoors via Generative Distribution Modeling NeurIPS 2019 Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training NeurIPS 2019 Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search CVPR 2019