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Pretraining

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Papers

TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model CVPR 2024 Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation AAAI 2024 Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text SemEval 2024 Tell Me What’s Next: Textual Foresight for Generic UI Representations ACL 2024 TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting ICLR 2024 Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models ICLR 2024 Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback EMNLP 2024 Text Grouping Adapter: Adapting Pre-trained Text Detector for Layout Analysis CVPR 2024 Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation ACL 2024 Textual-Driven Adversarial Purification for Speaker Verification Interspeech 2024 The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World ICLR 2024 The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation using Foundation Models ICLR 2024 The Impact of Initialization on LoRA Finetuning Dynamics NeurIPS 2024 The Need for Speed: Pruning Transformers with One Recipe ICLR 2024 Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling ICML 2024 TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024 TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training AAAI 2024 TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning NeurIPS 2024 TOSS: High-quality Text-guided Novel View Synthesis from a Single Image ICLR 2024 Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders AAAI 2024 Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning ICLR 2024 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets ICLR 2024 Towards objective and interpretable speech disorder assessment: a comparative analysis of CNN and transformer-based models Interspeech 2024 Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NeurIPS 2024