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conftrace_

vision model

58 papers

Papers

FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification NeurIPS 2024 GLID: Pre-training a Generalist Encoder-Decoder Vision Model CVPR 2024 Language-guided Manipulator Motion Planning with Bounded Task Space CoRL 2024 Language Model as Visual Explainer NeurIPS 2024 Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models NeurIPS 2024 Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization NeurIPS 2024 On the Use of Anchoring for Training Vision Models NeurIPS 2024 OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization ICML 2024 Position: Do Not Explain Vision Models Without Context ICML 2024 Pre-training Differentially Private Models with Limited Public Data NeurIPS 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NeurIPS 2024 ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation CoRL 2024 Scalable Pre-training of Large Autoregressive Image Models ICML 2024 TrAct: Making First-layer Pre-Activations Trainable NeurIPS 2024 VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation CVPR 2024 Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning NeurIPS 2024 What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? CoRL 2024 When does perceptual alignment benefit vision representations? NeurIPS 2024 A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others CVPR 2023 Exploring Geometry of Blind Spots in Vision models NeurIPS 2023 Improving CLIP Training with Language Rewrites NeurIPS 2023 Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition IJCAI 2023 LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching NeurIPS 2023 On Data Scaling in Masked Image Modeling CVPR 2023 Scale Alone Does not Improve Mechanistic Interpretability in Vision Models NeurIPS 2023