conftrace_

Techniques

9,432 papers (36 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Model Architecture (5,047) Pretraining (2,736) Attention (1,162) Normalization (434) Attention Mechanism (265)

Papers per year

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225

447

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914

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Papers (including subtopics)

Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation CVPR 2024 CrossMAE: Cross-Modality Masked Autoencoders for Region-Aware Audio-Visual Pre-Training CVPR 2024 CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity ICLR 2024 Cross-transfer Knowledge between Speech and Text Encoders to Evaluate Customer Satisfaction Interspeech 2024 CR-SAM: Curvature Regularized Sharpness-Aware Minimization AAAI 2024 CSTA: CNN-based Spatiotemporal Attention for Video Summarization CVPR 2024 Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance NeurIPS 2024 Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise NeurIPS 2024 Customizing 360-Degree Panoramas Through Text-to-Image Diffusion Models WACV 2024 Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid IJCAI 2024 DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection NeurIPS 2024 DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models Interspeech 2024 DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination EMNLP 2024 DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection NeurIPS 2024 Data-Centric Debugging: Mitigating Model Failures via Targeted Image Retrieval WACV 2024 DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning ACL 2024 Data curation via joint example selection further accelerates multimodal learning NeurIPS 2024 Data, Data Everywhere: A Guide for Pretraining Dataset Construction EMNLP 2024 Data Driven Threshold and Potential Initialization for Spiking Neural Networks AISTATS 2024 Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity AISTATS 2024 Data-Efficient Molecular Generation with Hierarchical Textual Inversion ICML 2024 Data-Efficient Multimodal Fusion on a Single GPU CVPR 2024 DataFreeShield: Defending Adversarial Attacks without Training Data ICML 2024 Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks COLING 2024 DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain NeurIPS 2024