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)

Rumor Detection on Social Media with Graph Structured Adversarial Learning IJCAI 2020 Russian-English Bidirectional Machine Translation System EMNLP 2020 S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency CoRL 2020 S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation CVPR 2020 SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications AAAI 2020 SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions ACL 2020 SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis CVPR 2020 SAL: Sign Agnostic Learning of Shapes From Raw Data CVPR 2020 Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance CVPR 2020 SampleNet: Differentiable Point Cloud Sampling CVPR 2020 SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning CoRL 2020 SAPIEN: A SimulAted Part-Based Interactive ENvironment CVPR 2020 Sarcasm Detection in Tweets with BERT and GloVe Embeddings ACL 2020 Sarcasm Detection Using an Ensemble Approach ACL 2020 Sarcasm Detection using Context Separators in Online Discourse ACL 2020 Sarcasm Identification and Detection in Conversion Context using BERT ACL 2020 Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention CVPR 2020 SATNet: Symmetric Adversarial Transfer Network Based on Two-Level Alignment Strategy towards Cross-Domain Sentiment Classification (Student Abstract) AAAI 2020 Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding AAAI 2020 Scalable Differential Privacy with Certified Robustness in Adversarial Learning ICML 2020 Scale Match for Tiny Person Detection WACV 2020 ScaleNet - Improve CNNs through Recursively Rescaling Objects AAAI 2020 Scale-Space Flow for End-to-End Optimized Video Compression CVPR 2020 Scale-Wise Convolution for Image Restoration AAAI 2020 Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020