haebom
Daily Arxiv
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Enhancing Password Security Through a High-Accuracy Scoring Framework Using Random Forests
Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm
Leveraging Large Language Models for Use Case Model Generation from Software Requirements
Enhancing PIBT via Multi-Action Operations
PressTrack-HMR: Pressure-Based Top-Down Multi-Person Global Human Mesh Recovery
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
PAN: A World Model for General, Interactable, and Long-Horizon World Simulation
Learning the Basis: A Kolmogorov-Arnold Network Approach Embedding Green's Function Priors
Automatic Grid Updates for Kolmogorov-Arnold Networks using Layer Histograms
Remodeling Semantic Relationships in Vision-Language Fine-Tuning
Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models
MVU-Eval: Towards Multi-Video Understanding Evaluation for Multimodal LLMs
Explainable Cross-Disease Reasoning for Cardiovascular Risk Assessment from LDCT
Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical Considerations
Personalized Chain-of-Thought Summarization of Financial News for Investor Decision Support
Search Is Not Retrieval: Decoupling Semantic Matching from Contextual Assembly in RAG
Does AI-Assisted Coding Deliver? A Difference-in-Differences Study of Cursor's Impact on Software Projects
CORE - A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment
Text to Robotic Assembly of Multi Component Objects using 3D Generative AI and Vision Language Models
WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail Scenarios
Xiaoice: Training-Free Video Understanding via Self-Supervised Spatio-Temporal Clustering of Semantic Features
A Critical Review of the Need for Knowledge-Centric Evaluation of Quranic Recitation
The Markovian Thinker: Architecture-Agnostic Linear Scaling of Reasoning
Artificial-Intelligence Grading Assistance for Handwritten Components of a Calculus Exam
Computing Wasserstein Barycenters through Gradient Flows
Enhancing the development of Cherenkov Telescope Array control software with Large Language Models
GPT and Prejudice: A Sparse Approach to Understanding Learned Representations in Large Language Models
One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences
FHIR-AgentBench: Benchmarking LLM Agents for Realistic Interoperable EHR Question Answering
Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation
Inference Offloading for Cost-Sensitive Binary Classification at the Edge
Collapse of Irrelevant Representations (CIR) Ensures Robust and Non-Disruptive LLM Unlearning
Zero-Shot Referring Expression Comprehension via Vison-Language True/False Verification
Retrieval-Augmented Generation for Reliable Interpretation of Radio Regulations
Dual-Mode Deep Anomaly Detection for Medical Manufacturing: Structural Similarity and Feature Distance
ManipDreamer3D : Synthesizing Plausible Robotic Manipulation Video with Occupancy-aware 3D Trajectory
ChronoGraph: A Real-World Graph-Based Multivariate Time Series Dataset
Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality
EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-commerce Models
Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search
Beyond Frequency: Seeing Subtle Cues Through the Lens of Spatial Decomposition for Fine-Grained Visual Classification
Test-Time Reinforcement Learning for GUI Grounding via Region Consistency
Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction
Application-Specific Component-Aware Structured Pruning of Deep Neural Networks in Control via Soft Coefficient Optimization
Cameras as Relative Positional Encoding
The Prompt War: How AI Decides on a Military Intervention
xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study
Interpretable and Granular Video-Based Quantification of Motor Characteristics from the Finger Tapping Test in Parkinson Disease
Feedback-MPPI: Fast Sampling-Based MPC via Rollout Differentiation -- Adios low-level controllers
VFEFL: Privacy-Preserving Federated Learning against Malicious Clients via Verifiable Functional Encryption
Understanding Human-AI Trust in Education
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Scaling Textual Gradients via Sampling-Based Momentum
Caption This, Reason That: VLMs Caught in the Middle
BroadGen: A Framework for Generating Effective and Efficient Advertiser Broad Match Keyphrase Recommendations
Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks
Scalable Quantum State Preparation via Large-Language-Model-Driven Discovery
OODTE: A Differential Testing Engine for the ONNX Optimizer
Constructing an Optimal Behavior Basis for the Option Keyboard
Bridging LMS and generative AI: dynamic course content integration (DCCI) for enhancing student satisfaction and engagement via the ask ME assistant
ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation
Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction
Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
MMTEB: Massive Multilingual Text Embedding Benchmark
Enhanced Structured Lasso Pruning with Class-wise Information
CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation
Siren: A Learning-Based Multi-Turn Attack Framework for Simulating Real-World Human Jailbreak Behaviors
Enhanced Suicidal Ideation Detection from Social Media Using a CNN-BiLSTM Hybrid Model
Interpretable Neural ODEs for Gene Regulatory Network Discovery under Perturbations
Reducing the Scope of Language Models
Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data
Multi-Turn Interactions for Text-to-SQL with Large Language Models
Differentiating between human-written and AI-generated texts using linguistic features automatically extracted from an online computational tool
Spikingformer: A Key Foundation Model for Spiking Neural Networks
SOM Directions are Better than One: Multi-Directional Refusal Suppression in Language Models
An Efficient Training Pipeline for Reasoning Graphical User Interface Agents
National Institute on Aging PREPARE Challenge: Early Detection of Cognitive Impairment Using Speech -- The SpeechCARE Solution
Information Capacity: Evaluating the Efficiency of Large Language Models via Text Compression
Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
WaterMod: Modular Token-Rank Partitioning for Probability-Balanced LLM Watermarking
Green AI: A systematic review and meta-analysis of its definitions, lifecycle models, hardware and measurement attempts
GHOST: Solving the Traveling Salesman Problem on Graphs of Convex Sets
A Brain Cell Type Resource Created by Large Language Models and a Multi-Agent AI System for Collaborative Community Annotation
LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild
Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics
PsychCounsel-Bench: Evaluating the Psychology Intelligence of Large Language Models
DOoM: Difficult Olympiads of Math
From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing
Planning Agents on an Ego-Trip: Leveraging Hybrid Ego-Graph Ensembles for Improved Tool Retrieval in Enterprise Task Planning
PITA: Preference-Guided Inference-Time Alignment for LLM Post-Training
Small Models Struggle to Learn from Strong Reasoners
Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models
Enhancing Conflict Resolution in Language Models via Abstract Argumentation
Discussion Graph Semantics of First-Order Logic with Equality for Reasoning about Discussion and Argumentation
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning
Black-Box On-Policy Distillation of Large Language Models
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Enhancing Self-Supervised Learning with Semantic Pairs A New Dataset and Empirical Study
Created by
Haebom
저자
Mohammad Alkhalefi, Georgios Leontidis, Mingjun Zhong
개요
인스턴스 차별은 데이터셋 내의 개별 인스턴스를 별개의 클래스로 취급하는 자기 지도 표현 학습 패러다임입니다. 일반적으로 각 인스턴스에 확률적 변환을 적용하여 두 개의 다른 뷰를 생성하여 모델이 이러한 뷰에서 공통의 기본 객체에 불변하는 표현을 학습하도록 장려합니다.
시사점, 한계점
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자기 지도 학습 방법론으로, 레이블 없이 학습 가능
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인스턴스 간의 차이를 학습하여 특징을 추출
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확률적 변환에 의존하여 뷰를 생성, 변환 설정에 따른 성능 변화 가능성
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인스턴스 간의 미묘한 차이를 구별하기 어려울 수 있음
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모델의 일반화 능력 평가 필요
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