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

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Papers (including subtopics)

Generalize Sentence Representation with Self-Inference AAAI 2020 Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation CVPR 2020 Generalizing Natural Language Analysis through Span-relation Representations ACL 2020 Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation ACL 2020 Generate, Segment, and Refine: Towards Generic Manipulation Segmentation AAAI 2020 Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations CVPR 2020 Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020 Generating Correct Answers for Progressive Matrices Intelligence Tests NeurIPS 2020 Generating Counter Narratives against Online Hate Speech: Data and Strategies ACL 2020 Generating Dialogue Responses from a Semantic Latent Space EMNLP 2020 Generating Diverse Translation by Manipulating Multi-Head Attention AAAI 2020 Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task ACL 2020 Generating Medical Reports from Patient-Doctor Conversations Using Sequence-to-Sequence Models ACL 2020 Generating Positive Bounding Boxes for Balanced Training of Object Detectors WACV 2020 Generating Realistic Stock Market Order Streams AAAI 2020 Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation EMNLP 2020 Generationary or “How We Went beyond Word Sense Inventories and Learned to Gloss” EMNLP 2020 Generative Adversarial Networks for Video-to-Video Domain Adaptation AAAI 2020 Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis AAAI 2020 Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs AAAI 2020 Generative-Discriminative Complementary Learning AAAI 2020 Generative-Discriminative Feature Representations for Open-Set Recognition CVPR 2020 Generative Semantic Hashing Enhanced via Boltzmann Machines ACL 2020 GeoDA: A Geometric Framework for Black-Box Adversarial Attacks CVPR 2020