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)

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting ACL 2023 Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023 Boosting Adversarial Transferability using Dynamic Cues ICLR 2023 Boosting Event Extraction with Denoised Structure-to-Text Augmentation ACL 2023 Boosting Graph Neural Networks via Adaptive Knowledge Distillation AAAI 2023 Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023 Boosting Learning for LDPC Codes to Improve the Error-Floor Performance NeurIPS 2023 Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt CVPR 2023 Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification EMNLP 2023 Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations AAAI 2023 Boosting Video Object Segmentation via Space-Time Correspondence Learning CVPR 2023 Boosting Weakly-Supervised Temporal Action Localization With Text Information CVPR 2023 Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification ICCV 2023 Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval EMNLP 2023 Bootstrapping Multi-View Representations for Fake News Detection AAAI 2023 Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping CVPR 2023 Bootstrapping Vision-Language Learning with Decoupled Language Pre-training NeurIPS 2023 Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation CVPR 2023 Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval CVPR 2023 Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation CVPR 2023 Bounding Evidence and Estimating Log-Likelihood in VAE AISTATS 2023 BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation CVPR 2023 BpHigh at SemEval-2023 Task 7: Can Fine-tuned Cross-encoders Outperform GPT-3.5 in NLI Tasks on Clinical Trial Data? SemEval 2023 Brain encoding models based on multimodal transformers can transfer across language and vision NeurIPS 2023 Breaking Correlation Shift via Conditional Invariant Regularizer ICLR 2023