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)

GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation CVPR 2019 Generalising Fine-Grained Sketch-Based Image Retrieval CVPR 2019 Generalizable Person Re-Identification by Domain-Invariant Mapping Network CVPR 2019 Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NeurIPS 2019 Generalization of Reinforcement Learners with Working and Episodic Memory NeurIPS 2019 Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer NeurIPS 2019 Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment ACL 2019 Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders CVPR 2019 Generalized Zero-Shot Recognition Based on Visually Semantic Embedding CVPR 2019 Generalizing Back-Translation in Neural Machine Translation ACL 2019 Generalizing Eye Tracking With Bayesian Adversarial Learning CVPR 2019 Generalizing Question Answering System with Pre-trained Language Model Fine-tuning EMNLP 2019 Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models EMNLP 2019 Generating Classical Chinese Poems from Vernacular Chinese EMNLP 2019 Generating Diverse Story Continuations with Controllable Semantics EMNLP 2019 Generating Fluent Adversarial Examples for Natural Languages ACL 2019 Generating Live Soccer-Match Commentary from Play Data AAAI 2019 Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network CVPR 2019 Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss EMNLP 2019 Generating Responses with a Specific Emotion in Dialog ACL 2019 Generative Question Answering: Learning to Answer the Whole Question ICLR 2019 Generative Well-intentioned Networks NeurIPS 2019 Geolocation with Attention-Based Multitask Learning Models EMNLP 2019 Geometry-Aware Distillation for Indoor Semantic Segmentation CVPR 2019 Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation CVPR 2019