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)

PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining NAACL 2022 Parallel Instance Query Network for Named Entity Recognition ACL 2022 Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences ICLR 2022 ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms EMNLP 2022 Parameter Differentiation Based Multilingual Neural Machine Translation AAAI 2022 Parameter-Efficient Legal Domain Adaptation EMNLP 2022 Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection EMNLP 2022 Parameter-Efficient Tuning Makes a Good Classification Head EMNLP 2022 Parameter-free Dynamic Graph Embedding for Link Prediction NeurIPS 2022 Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation NeurIPS 2022 Paraphrasing Is All You Need for Novel Object Captioning NeurIPS 2022 Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification CVPR 2022 Partial disentanglement for domain adaptation ICML 2022 Partially Humanizing Weak Supervision: Towards a Better Low Resource Pipeline for Spoken Language Understanding EMNLP 2022 Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings AAAI 2022 Particle-based Adversarial Local Distribution Regularization AISTATS 2022 PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories NeurIPS 2022 Patching open-vocabulary models by interpolating weights NeurIPS 2022 Patch-Level Representation Learning for Self-Supervised Vision Transformers CVPR 2022 PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks AAAI 2022 Pathologies of Pre-trained Language Models in Few-shot Fine-tuning ACL 2022 PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models EMNLP 2022 Pay attention to your loss : understanding misconceptions about Lipschitz neural networks NeurIPS 2022 PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings EMNLP 2022 PCL: Proxy-Based Contrastive Learning for Domain Generalization CVPR 2022