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

'15

'20

'25

Papers (including subtopics)

Efficient Federated Domain Translation ICLR 2023 Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule EMNLP 2023 Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt EMNLP 2023 Efficient Multimodal Fusion via Interactive Prompting CVPR 2023 Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric NeurIPS 2023 Efficient RGB-T Tracking via Cross-Modality Distillation CVPR 2023 Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language ICML 2023 Efficient Shapley Values Estimation by Amortization for Text Classification ACL 2023 EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones ICCV 2023 Efficient Training of Language Models using Few-Shot Learning ICML 2023 EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning ACL 2023 Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities NeurIPS 2023 EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding NeurIPS 2023 e-Health CSIRO at RadSum23: Adapting a Chest X-Ray Report Generator to Multimodal Radiology Report Summarisation ACL 2023 EINNs: Epidemiologically-Informed Neural Networks AAAI 2023 Elaboration-Generating Commonsense Question Answering at Scale ACL 2023 Elastic Aggregation for Federated Optimization CVPR 2023 Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning AAAI 2023 Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration ICML 2023 ELiRF-VRAIN at BioNLP Task 1B: Radiology Report Summarization ACL 2023 El-Kawaref at WojoodNER shared task: StagedNER for Arabic Named Entity Recognition EMNLP 2023 ELYADATA at WojoodNER Shared Task: Data and Model-centric Approaches for Arabic Flat and Nested NER EMNLP 2023 Embedding Articulatory Constraints for Low-resource Speech Recognition Based on Large Pre-trained Model Interspeech 2023 EMEF: Ensemble Multi-Exposure Image Fusion AAAI 2023 Emergent and Predictable Memorization in Large Language Models NeurIPS 2023