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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'25

Papers (including subtopics)

Active Learning on Pre-trained Language Model with Task-Independent Triplet Loss AAAI 2022 Active Learning Through a Covering Lens NeurIPS 2022 Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods NeurIPS 2022 Active Teacher for Semi-Supervised Object Detection CVPR 2022 AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning EMNLP 2022 Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space ICLR 2022 Adaptable Adapters NAACL 2022 Adapters for Enhanced Modeling of Multilingual Knowledge and Text EMNLP 2022 AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition NeurIPS 2022 Adapting a Language Model While Preserving its General Knowledge EMNLP 2022 Adapting Multilingual Models for Code-Mixed Translation EMNLP 2022 Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction EMNLP 2022 Adaptive Early-Learning Correction for Segmentation From Noisy Annotations CVPR 2022 Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning AAAI 2022 Adaptive Kernel Graph Neural Network AAAI 2022 Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation EMNLP 2022 Adaptive Orthogonal Projection for Batch and Online Continual Learning AAAI 2022 Adaptive Poincaré Point to Set Distance for Few-Shot Classification AAAI 2022 AdaptivePose: Human Parts as Adaptive Points AAAI 2022 Adaptive Rectangle Loss for Speaker Verification Interspeech 2022 Adaptor: Objective-Centric Adaptation Framework for Language Models ACL 2022 ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation CVPR 2022 A Dataset and BERT-based Models for Targeted Sentiment Analysis on Turkish Texts ACL 2022 A Dataset for Detecting Humor in Telugu Social Media Text ACL 2022 AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems ICML 2022