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

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Papers (including subtopics)

SAS: Self-Augmentation Strategy for Language Model Pre-training AAAI 2022 SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training EMNLP 2022 Saving Dense Retriever from Shortcut Dependency in Conversational Search EMNLP 2022 SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos NeurIPS 2022 Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy NeurIPS 2022 Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs NeurIPS 2022 Scaled ReLU Matters for Training Vision Transformers AAAI 2022 Scale Efficiently: Insights from Pretraining and Finetuning Transformers ICLR 2022 Scaling Language Model Size in Cross-Device Federated Learning ACL 2022 Scaling Laws for Neural Machine Translation ICLR 2022 Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization NeurIPS 2022 Scaling Up Vision-Language Pre-Training for Image Captioning CVPR 2022 Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning CVPR 2022 SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation AAAI 2022 ScanQA: 3D Question Answering for Spatial Scene Understanding CVPR 2022 Scene Consistency Representation Learning for Video Scene Segmentation CVPR 2022 Scene-Text Aware Image and Text Retrieval with Dual-Encoder ACL 2022 Scheduled Multi-task Learning for Neural Chat Translation ACL 2022 ScienceWorld: Is your Agent Smarter than a 5th Grader? EMNLP 2022 SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification NeurIPS 2022 Scoring of Large-Margin Embeddings for Speaker Verification: Cosine or PLDA? Interspeech 2022 SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models AAAI 2022 SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization CVPR 2022 SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation AAAI 2022 Search and Learn: Improving Semantic Coverage for Data-to-Text Generation AAAI 2022