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)

Deep Visual Analogy-Making NeurIPS 2015 Deep Visual-Semantic Alignments for Generating Image Descriptions CVPR 2015 Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ICCV 2015 Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs CVPR 2015 Depth-Based Hand Pose Estimation: Data, Methods, and Challenges ICCV 2015 DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting CVPR 2015 Direction Matters: Depth Estimation With a Surface Normal Classifier CVPR 2015 Discovering States and Transformations in Image Collections CVPR 2015 Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution CVPR 2015 Discriminative Robust Transformation Learning NeurIPS 2015 Discriminative Shape From Shading in Uncalibrated Illumination CVPR 2015 Don't Just Listen, Use Your Imagination: Leveraging Visual Common Sense for Non-Visual Tasks CVPR 2015 Dynamically Encoded Actions Based on Spacetime Saliency CVPR 2015 Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets NeurIPS 2015 Efficient Label Collection for Unlabeled Image Datasets CVPR 2015 Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NeurIPS 2015 Efficient Non-greedy Optimization of Decision Trees NeurIPS 2015 Efficient Object Localization Using Convolutional Networks CVPR 2015 Efficient Sparse-to-Dense Optical Flow Estimation Using a Learned Basis and Layers CVPR 2015 Embedding Inference for Structured Multilabel Prediction NeurIPS 2015 Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NeurIPS 2015 Encoding Based Saliency Detection for Videos and Images CVPR 2015 End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NeurIPS 2015 Evaluation of Output Embeddings for Fine-Grained Image Classification CVPR 2015 Exemplar SVMs as Visual Feature Encoders CVPR 2015