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)

Angular Quantization-based Binary Codes for Fast Similarity Search NeurIPS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 Bayesian Warped Gaussian Processes NeurIPS 2012 Cardinality Restricted Boltzmann Machines NeurIPS 2012 Classification Calibration Dimension for General Multiclass Losses NeurIPS 2012 Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NeurIPS 2012 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012 Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012 Deep Learning of Invariant Features via Simulated Fixations in Video NeurIPS 2012 Deep Representations and Codes for Image Auto-Annotation NeurIPS 2012 Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NeurIPS 2012 Dip-means: an incremental clustering method for estimating the number of clusters NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Distributed Probabilistic Learning for Camera Networks with Missing Data NeurIPS 2012 Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NeurIPS 2012 Emergence of Object-Selective Features in Unsupervised Feature Learning NeurIPS 2012 Fused sparsity and robust estimation for linear models with unknown variance NeurIPS 2012 Generalization Bounds for Domain Adaptation NeurIPS 2012 Hierarchical Latent Dictionaries for Models of Brain Activation AISTATS 2012 Image Denoising and Inpainting with Deep Neural Networks NeurIPS 2012 ImageNet Classification with Deep Convolutional Neural Networks NeurIPS 2012 Imitation Learning by Coaching NeurIPS 2012 Isotropic Hashing NeurIPS 2012 Large Scale Distributed Deep Networks NeurIPS 2012 Learned Prioritization for Trading Off Accuracy and Speed NeurIPS 2012