:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yen, Chen-Yu, Singhal, Raghav, Sharma, Umang, Ranganath, Rajesh, Chopra, Sumit, Pinto, Lerrel
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2406.04318
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A training regime to learn unified representations from complementary breast imaging modalities
by: Sharma, Umang, et al.
Published: (2024)

A General Framework for Inference-time Scaling and Steering of Diffusion Models
by: Singhal, Raghav, et al.
Published: (2025)

A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models
by: Ranganath, Aditya, et al.
Published: (2026)

From Diffusion to One-Step Generation: A Comparative Study of Flow-Based Models with Application to Image Inpainting
by: Agarwal, Umang, et al.
Published: (2025)

Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
by: Madaan, Divyam, et al.
Published: (2026)

Low-Field Magnetic Resonance Image Enhancement using Undersampled k-Space
by: Anyimadu, Daniel Tweneboah, et al.
Published: (2026)

Adaptive Temporal Gating of Longitudinal Magnetic Resonance Imaging for Alzheimer's Prediction
by: Moayedikia, Alireza, et al.
Published: (2026)

Touch begins where vision ends: Generalizable policies for contact-rich manipulation
by: Zhao, Zifan, et al.
Published: (2025)

Low-Field Magnetic Resonance Image Quality Enhancement using Undersampled k-Space and Out-of-Distribution Generalisation
by: Anyimadu, Daniel Tweneboah, et al.
Published: (2026)

FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models
by: Singhal, Raghav, et al.
Published: (2024)

P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policies
by: Levy, Mara, et al.
Published: (2024)

Temporal Generalization: A Reality Check
by: Madaan, Divyam, et al.
Published: (2025)

Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
by: Puli, Aahlad, et al.
Published: (2022)

Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging
by: Yang, Jing, et al.
Published: (2024)

CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
by: Shafiullah, Nur Muhammad Mahi, et al.
Published: (2022)

Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification
by: Kumar, Raja, et al.
Published: (2024)

Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
by: Saporta, Adriel, et al.
Published: (2024)

Enhanced Transformer-Based Tracking for Skiing Events: Overcoming Multi-Camera Challenges, Scale Variations and Rapid Motion -- SkiTB Visual Tracking Challenge 2025
by: Penta, Akhil, et al.
Published: (2025)

A Trust-Guided Approach to MR Image Reconstruction with Side Information
by: Atalık, Arda, et al.
Published: (2025)

Learning Long-Term Temporal Dependencies in Photovoltaic Power Output Prediction Through Multi-Horizon Forecasting
by: Laha, Sumit, et al.
Published: (2026)

Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
by: Madaan, Divyam, et al.
Published: (2024)

Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
by: Madaan, Divyam, et al.
Published: (2025)

Alzheimers Disease Progression Prediction Based on Manifold Mapping of Irregularly Sampled Longitudinal Data
by: Hong, Xin, et al.
Published: (2025)

What's the score? Automated Denoising Score Matching for Nonlinear Diffusions
by: Singhal, Raghav, et al.
Published: (2024)

Indian Sign Language Detection for Real-Time Translation using Machine Learning
by: Singhal, Rajat, et al.
Published: (2025)

DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
by: Cui, Zichen Jeff, et al.
Published: (2024)

Preliminary analysis of RGB-NIR Image Registration techniques for off-road forestry environments
by: Deoli, Pankaj, et al.
Published: (2026)

M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images
by: Wang, Hongyi, et al.
Published: (2024)

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
by: Yiasemis, George, et al.
Published: (2024)

Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration
by: Narayanan, Athmanarayanan Lakshmi, et al.
Published: (2025)

Controllable Latent Space Augmentation for Digital Pathology
by: Boutaj, Sofiène, et al.
Published: (2025)

Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection
by: Singhal, Rishi, et al.
Published: (2024)

From Frames to Clips: Training-free Adaptive Key Clip Selection for Long-Form Video Understanding
by: Sun, Guangyu, et al.
Published: (2025)

Evaluating Cell Type Inference in Vision Language Models Under Varying Visual Context
by: Singhal, Samarth, et al.
Published: (2025)

PatrolVision: Automated License Plate Recognition in the wild
by: Singhal, Anmol Singhal Navya
Published: (2025)

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models
by: Teotia, Revant, et al.
Published: (2025)

Emotion Based Prediction in the Context of Optimized Trajectory Planning for Immersive Learning
by: Sungheetha, Akey, et al.
Published: (2023)

Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach
by: Luo, Chen, et al.
Published: (2025)

Exploring parameter-efficient fine-tuning (PEFT) of billion-parameter vision models with QLoRA and DoRA: insights into generalization for limited-data image classification under a 98:1 test-to-train regime
by: Yang, Haiyu, et al.
Published: (2026)

Adaptive Diagnostic Reasoning Framework for Pathology with Multimodal Large Language Models
by: Hong, Yunqi, et al.
Published: (2025)