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)

MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks ACL 2023 MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition Interspeech 2023 MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer ICCV 2023 MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation AAAI 2023 MNER-QG: An End-to-End MRC Framework for Multimodal Named Entity Recognition with Query Grounding AAAI 2023 Mobile User Interface Element Detection via Adaptively Prompt Tuning CVPR 2023 MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation CVPR 2023 Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NeurIPS 2023 MocoSFL: enabling cross-client collaborative self-supervised learning ICLR 2023 Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation ACL 2023 Modality-Agnostic Debiasing for Single Domain Generalization CVPR 2023 Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding Interspeech 2023 Modality Mixer for Multi-Modal Action Recognition WACV 2023 MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences CVPR 2023 Model-Agnostic Gender Debiased Image Captioning CVPR 2023 Model-Based Offline Reinforcement Learning with Local Misspecification AAAI 2023 Model-Based Simulation for Optimising Smart Reply ACL 2023 Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning ICLR 2023 Modeling Entities As Semantic Points for Visual Information Extraction in the Wild CVPR 2023 Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms EMNLP 2023 Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval ICLR 2023 Modeling the Distributional Uncertainty for Salient Object Detection Models CVPR 2023 Model-Internal Slot-triggered Biasing for Domain Expansion in Neural Transducer ASR Models Interspeech 2023 Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency ACL 2023 Modelling the Reduplicating Lushootseed Morphology with an FST and LSTM ACL 2023