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)

GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose CVPR 2018 GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms ICML 2018 Gesture Recognition: Focus on the Hands CVPR 2018 Gibson Env: Real-World Perception for Embodied Agents CVPR 2018 Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks NeurIPS 2018 Global Versus Localized Generative Adversarial Nets CVPR 2018 GLoMo: Unsupervised Learning of Transferable Relational Graphs NeurIPS 2018 GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding EMNLP 2018 GNEG: Graph-Based Negative Sampling for word2vec ACL 2018 Gradient Descent for Spiking Neural Networks NeurIPS 2018 Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models AISTATS 2018 GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks ICML 2018 Grammar Induction with Neural Language Models: An Unusual Replication EMNLP 2018 GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning CVPR 2018 Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation NeurIPS 2018 Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation EMNLP 2018 Gromov-Wasserstein Alignment of Word Embedding Spaces EMNLP 2018 Group Consistent Similarity Learning via Deep CRF for Person Re-Identification CVPR 2018 Group Equivariant Capsule Networks NeurIPS 2018 Guided Proofreading of Automatic Segmentations for Connectomics CVPR 2018 Guide Me: Interacting With Deep Networks CVPR 2018 Handling Homographs in Neural Machine Translation NAACL 2018 HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN CVPR 2018 Hashing as Tie-Aware Learning to Rank CVPR 2018 HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization EMNLP 2018