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)

Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria CVPR 2018 Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach RSS 2018 CLUSE: Cross-Lingual Unsupervised Sense Embeddings EMNLP 2018 Coarse-to-Fine Decoding for Neural Semantic Parsing ACL 2018 Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning ACL 2018 Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation EMNLP 2018 Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms EMNLP 2018 Combining Character and Word Information in Neural Machine Translation Using a Multi-Level Attention NAACL 2018 Comparative Analysis of Neural QA models on SQuAD ACL 2018 Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference EMNLP 2018 Concatenative Resynthesis with Improved Training Signals for Speech Enhancement Interspeech 2018 Conditional Adversarial Domain Adaptation NeurIPS 2018 Conditional Generative Adversarial Network for Structured Domain Adaptation CVPR 2018 Conditional Noise-Contrastive Estimation of Unnormalised Models ICML 2018 Connecting Language and Vision to Actions ACL 2018 Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images CVPR 2018 Connecting Supervised and Unsupervised Sentence Embeddings ACL 2018 Connectionist Temporal Classification with Maximum Entropy Regularization NeurIPS 2018 Constituency Parsing with a Self-Attentive Encoder ACL 2018 Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model ACL 2018 Content Selection in Deep Learning Models of Summarization EMNLP 2018 Context and Copying in Neural Machine Translation EMNLP 2018 Context-Aware Deep Feature Compression for High-Speed Visual Tracking CVPR 2018 Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation CVPR 2018 Context Encoding for Semantic Segmentation CVPR 2018