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)

Improving Visual Prompt Tuning for Self-supervised Vision Transformers ICML 2023 Improving Visual Representation Learning Through Perceptual Understanding CVPR 2023 Improving Zero-Shot Generalization and Robustness of Multi-Modal Models CVPR 2023 Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization ACL 2023 IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning EMNLP 2023 In and Out-of-Domain Text Adversarial Robustness via Label Smoothing ACL 2023 IncDSI: Incrementally Updatable Document Retrieval ICML 2023 InCoder: A Generative Model for Code Infilling and Synthesis ICLR 2023 Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers AAAI 2023 Incomplete Utterance Rewriting as Sequential Greedy Tagging ACL 2023 In-Context Analogical Reasoning with Pre-Trained Language Models ACL 2023 In-Context Learning Creates Task Vectors EMNLP 2023 In-context Learning for Few-shot Multimodal Named Entity Recognition EMNLP 2023 Incorporating Attribution Importance for Improving Faithfulness Metrics ACL 2023 Incorporating Factuality Inference to Identify Document-level Event Factuality ACL 2023 Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs EMNLP 2023 Incorporating Syntactic Knowledge into Pre-trained Language Model using Optimization for Overcoming Catastrophic Forgetting EMNLP 2023 Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning AAAI 2023 Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class CVPR 2023 Indescribable Multi-Modal Spatial Evaluator CVPR 2023 IndiSocialFT: Multilingual Word Representation for Indian languages in code-mixed environment EMNLP 2023 Inducing Neural Collapse in Deep Long-tailed Learning AISTATS 2023 Inferential Knowledge-Enhanced Integrated Reasoning for Video Question Answering AAAI 2023 InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective EMNLP 2023 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models ICML 2023