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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'25

Papers (including subtopics)

Overcoming Data Sparsity in Acoustic Modeling of Low-Resource Language by Borrowing Data and Model Parameters from High-Resource Languages Interspeech 2016 Pairwise Decomposition of Image Sequences for Active Multi-View Recognition CVPR 2016 Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification CVPR 2016 PatchBatch: A Batch Augmented Loss for Optical Flow CVPR 2016 Personalizing Human Video Pose Estimation CVPR 2016 Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss Function CVPR 2016 Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences NeurIPS 2016 Pose-Aware Face Recognition in the Wild CVPR 2016 Predicting Motivations of Actions by Leveraging Text CVPR 2016 Professor Forcing: A New Algorithm for Training Recurrent Networks NeurIPS 2016 Rain Streak Removal Using Layer Priors CVPR 2016 Real-Time Action Recognition With Enhanced Motion Vector CNNs CVPR 2016 Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation CVPR 2016 Recurrent Convolutional Network for Video-Based Person Re-Identification CVPR 2016 Recurrent Dropout without Memory Loss COLING 2016 Recurrent Models for Auditory Attention in Multi-Microphone Distant Speech Recognition Interspeech 2016 Reducing the Computational Complexity of Multimicrophone Acoustic Models with Integrated Feature Extraction Interspeech 2016 Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning NeurIPS 2016 Regularizing Long Short Term Memory With 3D Human-Skeleton Sequences for Action Recognition CVPR 2016 Reinforcement Learning for Visual Object Detection CVPR 2016 Relevant sparse codes with variational information bottleneck NeurIPS 2016 Residual Networks Behave Like Ensembles of Relatively Shallow Networks NeurIPS 2016 Review Networks for Caption Generation NeurIPS 2016 Reward Augmented Maximum Likelihood for Neural Structured Prediction NeurIPS 2016 RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection CVPR 2016