Papers
Mon 29 Jul 2024
257 papers
- Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex TheoryDiffusion models → 3D, point cloud and scene generation
- A Method for Fast Autonomy Transfer in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- CoMMIT: Coordinated Multimodal Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Appraisal-Guided Proximal Policy Optimization: Modeling Psychological Disorders in Dynamic Grid WorldDeep reinforcement learning methods → RL training of language and agent models
- Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning ProcessLLM reasoning → Mathematical reasoning
- Dataset Distillation for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Specify and Edit: Overcoming Ambiguity in Text-Based Image EditingDiffusion models → Image generation, text-to-image and editing
- SAPG: Split and Aggregate Policy GradientsDeep reinforcement learning methods → RL theory and sample complexity
- FlexAttention for Efficient High-Resolution Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Can Editing LLMs Inject Harm?LLM safety and security → Prompt injection and agent security
- Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot ExplorationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction TuningMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration FrameworkDiffusion models → Medical imaging and segmentation
- Diffusion Feedback Helps CLIP See BetterDiffusion models → Image generation, text-to-image and editing
- Language-Conditioned Offline RL for Multi-Robot NavigationOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Quantum Machine Learning Architecture Search via Deep Reinforcement LearningDeep reinforcement learning methods → Quantum reinforcement learning
- DDAP: Dual-Domain Anti-Personalization against Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysisMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Generative Diffusion Model Bootstraps Zero-shot Classification of Fetal Ultrasound Images In Underrepresented African PopulationsDiffusion models → Medical imaging and segmentation
- SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillationKnowledge distillation → General knowledge distillation methods
- MaskInversion: Localized Embeddings via Optimization of Explainability MapsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- A Study on the Implementation Method of an Agent-Based Advanced RAG System Using GraphRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Mixture of Nested Experts: Adaptive Processing of Visual TokensMixture-of-experts → Vision mixture-of-experts
- FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Inference acceleration for large language models using "stairs" assisted greedy generationEfficient LLM inference and serving → Serving systems and request scheduling
- FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal AttentionDiffusion models → Video generation
- A Differential Dynamic Programming Framework for Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Imitation Learning for Intra-Day Power Grid Operation through Topology ActionsOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Anomalous State Sequence Modeling to Enhance Safety in Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Detecting and Understanding Vulnerabilities in Language Models via Mechanistic InterpretabilityMechanistic interpretability → Steering and probing for LLM safety
- ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Generative Retrieval with Preference Optimization for E-commerce SearchLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Concise Thoughts: Impact of Output Length on LLM Reasoning and CostLLM reasoning → Test-time compute and efficient thinking
- Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention MechanismKnowledge distillation → Distillation for medical imaging
- Detecting Unsafe Behavior in Neural Network Imitation Policies for Caregiving RoboticsOffline RL and imitation learning from data → Safe offline RL
- Improving Retrieval Augmented Language Model with Self-ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Introducing a new hyper-parameter for RAG: Context Window UtilizationRetrieval-augmented generation → RAG pipeline design and evaluation
- Multimodal Large Language Models for Bioimage AnalysisMultimodal LLMs / vision-language models → Medical vision-language models
- Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion ModelDiffusion models → Diffusion and flow policies for robotics
- Urban Safety Perception Assessments via Integrating Multimodal Large Language Models with Street View ImagesMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Harnessing Large Vision and Language Models in Agriculture: A ReviewMultimodal LLMs / vision-language models → Agricultural vision-language models
- Advancing Prompt Learning through an External LayerMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Smart Language Agents in Real-World PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Take A Step Back: Rethinking the Two Stages in Visual ReasoningLLM reasoning → Multimodal reasoning
- Bridging Compressed Image Latents and Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular TransformerWorld models → World modeling from LiDAR generation
- Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented GenerationRetrieval-augmented generation → RAG for code
- Leveraging Vision Language Models for Specialized Agricultural TasksMultimodal LLMs / vision-language models → Agricultural vision-language models
- Consistency Based Weakly Self-Supervised Learning for Human Activity Recognition with Wearables
- UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks
- Application of Unsupervised Artificial Neural Network (ANN) Self_Organizing Map (SOM) in Identifying Main Car Sales Factors
- APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching
- Quantum Computing and Neuromorphic Computing for Safe, Reliable, and explainable Multi-Agent Reinforcement Learning: Optimal Control in Autonomous Robotics
- HOAA: Hybrid Overestimating Approximate Adder for Enhanced Performance Processing Engine
- Convergence rates for the Adam optimizer
- Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models
- Apple Intelligence Foundation Language Models
- Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
- Beyond Metrics: A Critical Analysis of the Variability in Large Language Model Evaluation Frameworks
- Graphite: A Graph-based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation
- Weakly Supervised Intracranial Hemorrhage Segmentation with YOLO and an Uncertainty Rectified Segment Anything Model
- Learning Feature-Preserving Portrait Editing from Generated Pairs
- Domain Adaptable Prescriptive AI Agent for Enterprise
- MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset
- Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation
- Importance Corrected Neural JKO Sampling
- Generating Gender Alternatives in Machine Translation
- BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth Estimation
- Neural Surrogate HMC: On Using Neural Likelihoods for Hamiltonian Monte Carlo in Simulation-Based Inference
- Mean Opinion Score as a New Metric for User-Evaluation of XAI Methods
- Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification
- Through the Looking Glass, and what Horn Clause Programs Found There
- Analysis and Improvement of Rank-Ordered Mean Algorithm in Single-Photon LiDAR
- Dense Self-Supervised Learning for Medical Image Segmentation
- Alignment Scores: Robust Metrics for Multiview Pose Accuracy Evaluation
- Two-Phase Segmentation Approach for Accurate Left Ventricle Segmentation in Cardiac MRI using Machine Learning
- What if Red Can Talk? Dynamic Dialogue Generation Using Large Language Models
- Leveraging Natural Language and Item Response Theory Models for ESG Scoring
- A Model Generalization Study in Localizing Indoor Cows with COw LOcalization (COLO) dataset
- Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
- Mixed Newton Method for Optimization in Complex Spaces
- Evaluating Large Language Models for automatic analysis of teacher simulations
- Designing Time-Series Models With Hypernetworks & Adversarial Portfolios
- LiteEFG: An Efficient Python Library for Solving Extensive-form Games
- BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues
- Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities
- Sun Off, Lights On: Photorealistic Monocular Nighttime Simulation for Robust Semantic Perception
- Universal New Physics Latent Space
- Legal Aspects of Decentralized and Platform-Driven Economies
- Improving 2D Feature Representations by 3D-Aware Fine-Tuning
- Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning
- Global Structure-from-Motion Revisited
- SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction
- Registering Neural 4D Gaussians for Endoscopic Surgery
- Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning
- Supertrust foundational alignment: mutual trust must replace permanent control for safe superintelligence
- QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval
- Emergence in non-neural models: grokking modular arithmetic via average gradient outer product
- SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking
All 257
- Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment
- The generator gradient estimator is an adjoint state method for stochastic differential equations
- Time series forecasting with high stakes: A field study of the air cargo industry
- Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search
- MindSearch: Mimicking Human Minds Elicits Deep AI Searcher
- Theia: Distilling Diverse Vision Foundation Models for Robot Learning
- AutoScale: Scale-Aware Data Mixing for Pre-Training LLMs
- Emotion-Driven Melody Harmonization via Melodic Variation and Functional Representation
- Machine Learning for Predicting Chaotic Systems
- rLLM: Relational Table Learning with LLMs
- Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems
- ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development
- To accept or not to accept? An IRT-TOE Framework to Understand Educators' Resistance to Generative AI in Higher Education
- Finite-Sample Guarantees for Learning Dynamics in Zero-Sum Polymatrix Games
- Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired Neural Networks for the 3D microstructure evolution of materials via Cahn-Hilliard flow
- AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics
- Tightening the Evaluation of PAC Bounds Using Formal Verification Results
- EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation
- Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number
- Classification, Regression and Segmentation directly from k-Space in Cardiac MRI
- Strong Copyright Protection for Language Models via Adaptive Model Fusion
- F-KANs: Federated Kolmogorov-Arnold Networks
- RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding
- Towards Robust Infrared Small Target Detection: A Feature-Enhanced and Sensitivity-Tunable Framework
- Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net
- An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation
- UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation
- Background Semantics Matter: Cross-Task Feature Exchange Network for Clustered Infrared Small Target Detection
- Investigating the Impact of Semi-Supervised Methods with Data Augmentation on Offensive Language Detection in Romanian Language
- An Interpretable Rule Creation Method for Black-Box Models based on Surrogate Trees -- SRules
- Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise
- xAI-Drop: Don't Use What You Cannot Explain
- Autonomous Bootstrapping of Quantum Dot Devices
- RelBench: A Benchmark for Deep Learning on Relational Databases
- Shapley Value Computation in Ontology-Mediated Query Answering
- Reconstructing Global Daily CO2 Emissions via Machine Learning
- Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models
- Denoising ESG: quantifying data uncertainty from missing data with Machine Learning and prediction intervals
- Exploring Large Language Models to generate Easy to Read content
- Aircraft Trajectory Segmentation-based Contrastive Coding: A Framework for Self-supervised Trajectory Representation
- MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
- ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
- Classification of freshwater snails of the genus Radomaniola with multimodal triplet networks
- On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement
- Collision Probability Distribution Estimation via Temporal Difference Learning
- Do LLMs Really Adapt to Domains? An Ontology Learning Perspective
- Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"
- A Comprehensive Study for Edge Detection: Ideal-Prior Guidance Learning, High-Precision Architecture, and Better Distinguishability Evaluation Benchmark
- Classification of Alzheimer's Dementia vs. Healthy subjects by studying structural disparities in fMRI Time-Series of DMN
- Confidence Estimation for Automatic Detection of Depression and Alzheimer's Disease Based on Clinical Interviews
- Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter
- From Flat to Spatial: Comparison of 4 methods constructing 3D, 2 and 1/2D Models from 2D Plans with neural networks
- A Temporal Psycholinguistics Approach to Identity Resolution of Social Media Users
- Simply Trainable Nearest Neighbour Machine Translation with GPU Inference
- Can I trust my anomaly detection system? A case study based on explainable AI
- Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
- Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank
- Boosting Graph Foundation Model from Structural Perspective
- Robust Conformal Volume Estimation in 3D Medical Images
- AOTree: Aspect Order Tree-based Model for Explainable Recommendation
- Monetizing Currency Pair Sentiments through LLM Explainability
- Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations
- Sentiment Analysis of Lithuanian Online Reviews Using Large Language Models
- Cell Culture Assistive Application for Precipitation Image Diagnosis
- Efficient Shield Synthesis via State-Space Transformation
- Reverse Map Projections as Equivariant Quantum Embeddings
- Practical and Reproducible Symbolic Music Generation by Large Language Models with Structural Embeddings
- BEExAI: Benchmark to Evaluate Explainable AI
- CardioSyntax: end-to-end SYNTAX score prediction -- dataset, benchmark and method
- Leveraging Foundation Models for Zero-Shot IoT Sensing
- Making Multi-Axis Gaussian Graphical Models Scalable to Millions of Cells
- Self-Supervised Learning for Text Recognition: A Critical Survey
- Yucca: A Deep Learning Framework For Medical Image Analysis
- A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation
- Preliminary WMT24 Ranking of General MT Systems and LLMs
- Language-driven Grasp Detection with Mask-guided Attention
- Exploring Robust Face-Voice Matching in Multilingual Environments
- OpenUAS: Embeddings of Cities in Japan with Anchor Data for Cross-city Analysis of Area Usage Patterns
- Distances Between Partial Preference Orderings
- Deep Image Priors for Magnetic Resonance Fingerprinting with pretrained Bloch-consistent denoising autoencoders
- AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural Networks
- Online Multi-Source Domain Adaptation through Gaussian Mixtures and Dataset Dictionary Learning
- Quantum Long Short-Term Memory for Drug Discovery
- Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models
- BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
- RNACG: A Universal RNA Sequence Conditional Generation model based on Flow-Matching
- VortSDF: 3D Modeling with Centroidal Voronoi Tesselation on Signed Distance Field
- ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation
- Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction
- Analyzing and reducing the synthetic-to-real transfer gap in Music Information Retrieval: the task of automatic drum transcription
- ActivityCLIP: Enhancing Group Activity Recognition by Mining Complementary Information from Text to Supplement Image Modality
- Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies
- Image-text matching for large-scale book collections
- Synthetic Thermal and RGB Videos for Automatic Pain Assessment utilizing a Vision-MLP Architecture
- Twins-PainViT: Towards a Modality-Agnostic Vision Transformer Framework for Multimodal Automatic Pain Assessment using Facial Videos and fNIRS
- Segmentation en phrases : ouvrez les guillemets sans perdre le fil
- Cool-Fusion: Fuse Large Language Models without Training
- Imputation for prediction: beware of diminishing returns
- Teaching LLMs at Charles University: Assignments and Activities
- VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks
- Hashing based Contrastive Learning for Virtual Screening
- Interpreting Low-level Vision Models with Causal Effect Maps
- SciPostLayout: A Dataset for Layout Analysis and Layout Generation of Scientific Posters
- Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting
- Synthesizing Scientific Summaries: An Extractive and Abstractive Approach
- Revisiting Agnostic PAC Learning
- Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference
- Garment Animation NeRF with Color Editing
- Unmasking unlearnable models: a classification challenge for biomedical images without visible cues
- Generating Unseen Code Tests In Infinitum
- Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network
- TeleOR: Real-time Telemedicine System for Full-Scene Operating Room
- Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex Scenarios
- Towards Open-Set Myoelectric Gesture Recognition via Dual-Perspective Inconsistency Learning
- Contextuality Helps Representation Learning for Generalized Category Discovery
- Octave-YOLO: Cross frequency detection network with octave convolution
- KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument Mining
- Sensor Selection via GFlowNets: A Deep Generative Modeling Framework to Navigate Combinatorial Complexity
- Do Text-to-Vis Benchmarks Test Real Use of Visualisations?
- Constructing artificial life and materials scientists with accelerated AI using Deep AndersoNN
- Rina: Enhancing Ring-AllReduce with In-network Aggregation in Distributed Model Training
- Generalization bounds for regression and classification on adaptive covering input domains
- Rethinking RGB-D Fusion for Semantic Segmentation in Surgical Datasets
- ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement
- Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations
- CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare
- Classification Matters: Improving Video Action Detection with Class-Specific Attention
- Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting
- Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images
- Structural damage detection via hierarchical damage information with volumetric assessment
- Causal Interventional Prediction System for Robust and Explainable Effect Forecasting
- Efficiently and Effectively: A Two-stage Approach to Balance Plaintext and Encrypted Text for Traffic Classification
- Revisiting the robustness of post-hoc interpretability methods
- Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation under Complex Task-Motion Dependencies
- On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP
- Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment
- SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages
- Overview of PerpectiveArg2024: The First Shared Task on Perspective Argument Retrieval
- mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval
- Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity
- Adaptive Soft Error Protection for Neural Network Processing
- Short-Term Photovoltaic Forecasting Model for Qualifying Uncertainty during Hazy Weather
- Towards Knowledge Guided Pretraining Approaches for Multimodal Foundation Models: Applications in Remote Sensing
- AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias
- SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos
- Practical Video Object Detection via Feature Selection and Aggregation
- Foundations for Unfairness in Anomaly Detection -- Case Studies in Facial Imaging Data
- Realizing Unaligned Block-wise Pruning for DNN Acceleration on Mobile Devices
- Prometheus Chatbot: Knowledge Graph Collaborative Large Language Model for Computer Components Recommendation
- On the Reliability of Large Language Models for Causal Discovery
- OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale
- "A Good Bot Always Knows Its Limitations": Assessing Autonomous System Decision-making Competencies through Factorized Machine Self-confidence
- LLMs' Understanding of Natural Language Revealed
- LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment
- Nonparametric independence tests in high-dimensional settings, with applications to the genetics of complex disease
- Improving the Estimation of Lifetime Effects in A/B Testing via Treatment Locality
- TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs