linear probing

Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding CVPR 2025 MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations ICLR 2025 Not Just a Piece of Cake: Cross-Lingual Fine-Tuning for Idiom Identification IJCNLP 2025 PentaML at BLP-2025 Task 1: Linear Probing of Pre-trained Transformer-based Models for Bangla Hate Speech Detection AACL 2025 Sonata: Self-Supervised Learning of Reliable Point Representations CVPR 2025 Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025 Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers ICLR 2025 A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models CVPR 2024 CausalGym: Benchmarking causal interpretability methods on linguistic tasks ACL 2024 Causal language modeling can elicit search and reasoning capabilities on logic puzzles NeurIPS 2024 Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget AAAI 2024 Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability AAAI 2024 FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning ACML 2024 Initialization Matters for Adversarial Transfer Learning CVPR 2024 LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures ICLR 2024 LP-OVOD: Open-Vocabulary Object Detection by Linear Probing WACV 2024 Stochastic positional embeddings improve masked image modeling ICML 2024 Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024 Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective NeurIPS 2024 What Do Language Models Hear? Probing for Auditory Representations in Language Models ACL 2024 What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks ICML 2024 A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias ICLR 2023 Evaluating Self-Supervised Learning via Risk Decomposition ICML 2023 Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise AISTATS 2023 Improving Visual Representation Learning Through Perceptual Understanding CVPR 2023