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Pretraining

2,736 papers

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Papers

EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing NeurIPS 2024 Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data ACL 2024 Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences CVPR 2024 Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation ICML 2024 Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation Interspeech 2024 Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning IJCAI 2024 Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning AAAI 2024 Enhancing Polyglot Voices by Leveraging Cross-Lingual Fine-Tuning in Any-to-One Voice Conversion EMNLP 2024 Enhancing Vision-Language Pre-training with Rich Supervisions CVPR 2024 Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors ICLR 2024 Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models EACL 2024 Evaluating alignment between humans and neural network representations in image-based learning tasks NeurIPS 2024 Evaluating Representation Learning on the Protein Structure Universe ICLR 2024 EVil-Probe - a Composite Benchmark for Extensive Visio-Linguistic Probing COLING 2024 Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding ECCV 2024 Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders AAAI 2024 Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users CVPR 2024 Exploring adaptation techniques of large speech foundation models for low-resource ASR: a case study on Northern Sámi Interspeech 2024 Exploring Molecular Pretraining Model at Scale NeurIPS 2024 Exploring Pre-trained Speech Model for Articulatory Feature Extraction in Dysarthric Speech Using ASR Interspeech 2024 Exploring Quantization for Efficient Pre-Training of Transformer Language Models EMNLP 2024 Exploring the Benefit of Activation Sparsity in Pre-training ICML 2024 Exploring Weight Balancing on Long-Tailed Recognition Problem ICLR 2024 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024 Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024