Cover Image

Deep Delta Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yifan, Liu, Yifeng, Wang, Mengdi, Gu, Quanquan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
by: Zhao, Linxi, et al.
Published: (2024)

Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
by: Yuan, Huizhuo, et al.
Published: (2024)

Higher-order Linear Attention
by: Zhang, Yifan, et al.
Published: (2025)

RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
by: Wang, Yinjie, et al.
Published: (2026)

OpenClaw-RL: Train Any Agent Simply by Talking
by: Wang, Yinjie, et al.
Published: (2026)

A Survey of Deep Learning for Geometry Problem Solving
by: Ma, Jianzhe, et al.
Published: (2025)

Real Deep Research for AI, Robotics and Beyond
by: Zou, Xueyan, et al.
Published: (2025)

Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge
by: Park, Brendan, et al.
Published: (2024)

Unified Lexical Representation for Interpretable Visual-Language Alignment
by: Li, Yifan, et al.
Published: (2024)

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5
by: Ma, Xingjun, et al.
Published: (2026)

From Consistency to Complementarity: Aligned and Disentangled Multi-modal Learning for Time Series Understanding and Reasoning
by: Ni, Hang, et al.
Published: (2026)

A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data
by: Wu, Yifan, et al.
Published: (2024)

Deep Learning-Based Digitization of Overlapping ECG Images with Open-Source Python Code
by: Karbasi, Reza, et al.
Published: (2025)

Integrating Medical Imaging and Clinical Reports Using Multimodal Deep Learning for Advanced Disease Analysis
by: Yao, Ziyan, et al.
Published: (2024)

MLLMs-Augmented Visual-Language Representation Learning
by: Liu, Yanqing, et al.
Published: (2023)

Towards the Dynamics of a DNN Learning Symbolic Interactions
by: Ren, Qihan, et al.
Published: (2024)

Web World Models
by: Feng, Jichen, et al.
Published: (2025)

Counterfactual Segmentation Reasoning: Diagnosing and Mitigating Pixel-Grounding Hallucination
by: Li, Xinzhuo, et al.
Published: (2025)

Visual Question Decomposition on Multimodal Large Language Models
by: Zhang, Haowei, et al.
Published: (2024)

Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models
by: Chen, Zijun, et al.
Published: (2024)

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models
by: Zhang, Yichi, et al.
Published: (2024)

CX-Mind: A Pioneering Multimodal Large Language Model for Interleaved Reasoning in Chest X-ray via Curriculum-Guided Reinforcement Learning
by: Li, Wenjie, et al.
Published: (2025)

From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
by: Xu, Nan, et al.
Published: (2024)

Learning to Instruct for Visual Instruction Tuning
by: Zhou, Zhihan, et al.
Published: (2025)

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
by: Zhang, Jingyi, et al.
Published: (2025)

GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning
by: Chen, Yi, et al.
Published: (2025)

Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1
by: Chen, Yi, et al.
Published: (2025)

VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning
by: Luo, Run, et al.
Published: (2025)

Towards Visual Text Grounding of Multimodal Large Language Model
by: Li, Ming, et al.
Published: (2025)

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
by: Zeng, Yu, et al.
Published: (2026)

Impact of Noisy Supervision in Foundation Model Learning
by: Chen, Hao, et al.
Published: (2024)

From Sparse Decisions to Dense Reasoning: A Multi-attribute Trajectory Paradigm for Multimodal Moderation
by: Gu, Tianle, et al.
Published: (2026)

Continual Learning Using a Kernel-Based Method Over Foundation Models
by: Momeni, Saleh, et al.
Published: (2024)

CP-MoE: Consistency-Preserving Mixture-of-Experts for Continual Learning
by: Liu, Yang, et al.
Published: (2026)

Vision Mamba: A Comprehensive Survey and Taxonomy
by: Liu, Xiao, et al.
Published: (2024)

M2-Reasoning: Empowering MLLMs with Unified General and Spatial Reasoning
by: AI, Inclusion, et al.
Published: (2025)

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start
by: Wei, Lai, et al.
Published: (2025)

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
by: Wu, Junfei, et al.
Published: (2024)

Continual SFT Matches Multimodal RLHF with Negative Supervision
by: Zhu, Ke, et al.
Published: (2024)

Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
by: Zhang, Yuhui, et al.
Published: (2024)