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)

Graph Contrastive Learning with Augmentations NeurIPS 2020 GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems EMNLP 2020 Grapheme-to-Phoneme Conversion with a Multilingual Transformer Model ACL 2020 GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks AAAI 2020 Graph Few-Shot Learning via Knowledge Transfer AAAI 2020 Graph Filtration Learning ICML 2020 Graph-Guided Architecture Search for Real-Time Semantic Segmentation CVPR 2020 Graph Meta Learning via Local Subgraphs NeurIPS 2020 Graph Neural News Recommendation with Unsupervised Preference Disentanglement ACL 2020 GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations CVPR 2020 Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction EMNLP 2020 GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction CVPR 2020 Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data JMLR 2020 GreedyFool: Distortion-Aware Sparse Adversarial Attack NeurIPS 2020 Gromov-Wasserstein Factorization Models for Graph Clustering AAAI 2020 GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition CVPR 2020 Group Gated Fusion on Attention-Based Bidirectional Alignment for Multimodal Emotion Recognition Interspeech 2020 Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge NeurIPS 2020 Group-Wise Dynamic Dropout Based on Latent Semantic Variations AAAI 2020 Growing Together: Modeling Human Language Learning With n-Best Multi-Checkpoint Machine Translation ACL 2020 GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition AAAI 2020 GTCOM Neural Machine Translation Systems for WMT20 EMNLP 2020 GTNet: Generative Transfer Network for Zero-Shot Object Detection AAAI 2020 Guided Dialogue Policy Learning without Adversarial Learning in the Loop EMNLP 2020 Guided Variational Autoencoder for Disentanglement Learning CVPR 2020