Papers
Thu 29 Feb 2024
310 papers
- Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMsEfficient LLM inference and serving → Speculative decoding
- Offline Fictitious Self-Play for Competitive GamesOffline RL and imitation learning from data → Offline RL algorithms +1
- Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC ControlDeep reinforcement learning methods → RL for energy, networks and operations
- Towards Artwork Explanation in Large-scale Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Retrieval-Augmented Generation for AI-Generated Content: A SurveyRetrieval-augmented generation → RAG pipeline design and evaluation
- TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video ReasoningLLM reasoning → Multimodal reasoning
- Curiosity-driven Red-teaming for Large Language ModelsLLM safety and security → Prompt injection and agent security
- Listening to the Noise: Blind Denoising with Gibbs DiffusionDiffusion models → Diffusion foundations and sampling
- Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning GapLLM reasoning → Mathematical reasoning
- ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RLLLM agents and tool use → Reinforcement learning for LLM agents
- Pushing the Limits of Cross-Embodiment Learning for Manipulation and NavigationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Structure Preserving Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Watermark Stealing in Large Language ModelsLLM safety and security → Watermarking generated content and models
- RoadRunner -- Learning Traversability Estimation for Autonomous Off-road DrivingEnd-to-end autonomous driving → End-to-end system architecture
- A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online AdaptationDiffusion models → Flow matching, time series and science
- Loss-Free Machine UnlearningLLM safety and security → Machine unlearning
- DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D ReassemblyDiffusion models → 3D, point cloud and scene generation
- Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem SolversLLM reasoning → Mathematical reasoning
- A Cognitive-Based Trajectory Prediction Approach for Autonomous DrivingKnowledge distillation → Multimodal distillation
- Deep Reinforcement Learning: A Convex Optimization ApproachDeep reinforcement learning methods → RL theory and sample complexity
- Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory MappingDiffusion models → Diffusion foundations and sampling
- Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language ModelMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaborationOffline RL and imitation learning from data → Social robot navigation +1
- Continuous Sign Language Recognition Based on Motor attention mechanism and frame-level Self-distillationKnowledge distillation → Speech and audio distillation
- How to Understand "Support"? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase GroundingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve MarketsDeep reinforcement learning methods → RL for energy, networks and operations
- TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model EncodingsDiffusion models → Discrete and text diffusion
- Controllable Preference Optimization: Toward Controllable Multi-Objective AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership ProtectionLLM safety and security → Watermarking generated content and models
- Theoretical Foundations of Deep Selective State-Space ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image SynthesisDiffusion models → Medical imaging and segmentation
- Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-DecodingDiffusion models → Diffusion foundations and sampling
- PopALM: Popularity-Aligned Language Models for Social Media Trendy Response PredictionLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic TransferLLM safety and security → Backdoor and data poisoning attacks
- DIGIC: Domain Generalizable Imitation Learning by Causal DiscoveryOffline RL and imitation learning from data → Imitation learning methods
- Dr. Strategy: Model-Based Generalist Agents with Strategic DreamingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- ViewFusion: Towards Multi-View Consistency via Interpolated DenoisingDiffusion models → 3D, point cloud and scene generation
- Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity EquationDiffusion models → Flow matching, time series and science
- A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert ObservationsDeep reinforcement learning methods → Deep RL algorithms and representations
- Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial DefenseMixture-of-experts → Vision mixture-of-experts
- Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3DDiffusion models → 3D, point cloud and scene generation
- Disentangling the Causes of Plasticity Loss in Neural NetworksDeep reinforcement learning methods → Deep RL algorithms and representations
- SegNet: A Segmented Deep Learning based Convolutional Neural Network Approach for Drones Wildfire Detection
- X-AMR Annotation Tool
- Case Studies of AI Policy Development in Africa
- Towards Modeling Learner Performance with Large Language Models
- A machine learning approach to predict university enrolment choices through students' high school background in Italy
- Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
- Value Prediction for Spatiotemporal Gait Data Using Deep Learning
- Physics-informed generative model for drug-like molecule conformers
- AI and Identity
- Physics Sensor Based Deep Learning Fall Detection System
- Superposition with Delayed Unification
- Assessing the Extrapolation Capability of Template-Free Retrosynthesis Models
- On the Convergence of Federated Learning Algorithms without Data Similarity
- LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction
- NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
- Pivoting Retail Supply Chain with Deep Generative Techniques: Taxonomy, Survey and Insights
- Parallel Algorithms for Exact Enumeration of Deep Neural Network Activation Regions
- Team Formation amidst Conflicts
- Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning
- Parallel Momentum Methods Under Biased Gradient Estimations
- NeuraLUT: Hiding Neural Network Density in Boolean Synthesizable Functions
- Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
- Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
- Large Language Models are Learnable Planners for Long-Term Recommendation
- EyeGPT: Ophthalmic Assistant with Large Language Models
- ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph
- Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras
- Ask Your Distribution Shift if Pre-Training is Right for You
- Identification of important nodes in the information propagation network based on the artificial intelligence method
- Impact of Decentralized Learning on Player Utilities in Stackelberg Games
- Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling
- "Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models
- Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
- Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
- SoD2: Statically Optimizing Dynamic Deep Neural Network
- FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything
- A citizen science toolkit to collect human perceptions of urban environments using open street view images
- TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision
- Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
- Privacy-Preserving Distributed Optimization and Learning
- Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space
- LLMs in Political Science: Heralding a New Era of Visual Analysis
- Practical and Rich User Digitization
- Analysis of Kernel Mirror Prox for Measure Optimization
- EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
- Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing
- EROS: Entity-Driven Controlled Policy Document Summarization
- UniTS: A Unified Multi-Task Time Series Model
- From Flies to Robots: Inverted Landing in Small Quadcopters with Dynamic Perching
- Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts
- FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition
- Federated Linear Contextual Bandits with Heterogeneous Clients
- LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
- Longitudinal Counterfactuals: Constraints and Opportunities
All 310
- On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations
- PROC2PDDL: Open-Domain Planning Representations from Texts
- Resonance RoPE: Improving Context Length Generalization of Large Language Models
- Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization
- Exploring Data-Efficient Adaptation of Large Language Models for Code Generation
- Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC
- RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks
- Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
- FhGenie: A Custom, Confidentiality-preserving Chat AI for Corporate and Scientific Use
- Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
- Influencing Bandits: Arm Selection for Preference Shaping
- Spatial Craving Patterns in Marijuana Users: Insights from fMRI Brain Connectivity Analysis with High-Order Graph Attention Neural Networks
- Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
- Learning a Generalized Physical Face Model From Data
- The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?
- The All-Seeing Project V2: Towards General Relation Comprehension of the Open World
- Efficient Lifelong Model Evaluation in an Era of Rapid Progress
- Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling
- Towards Generalizable Tumor Synthesis
- Humanoid Locomotion as Next Token Prediction
- Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
- SeMoLi: What Moves Together Belongs Together
- Accelerating materials discovery for polymer solar cells: Data-driven insights enabled by natural language processing
- Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
- textttCOSMIC: Mutual Information for Task-Agnostic Summarization Evaluation
- Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm
- Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
- Probing the Information Encoded in Neural-based Acoustic Models of Automatic Speech Recognition Systems
- Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality
- Differentially Private Worst-group Risk Minimization
- Compositional API Recommendation for Library-Oriented Code Generation
- Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
- Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?
- PEM: Prototype-based Efficient MaskFormer for Image Segmentation
- Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines
- Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
- PaECTER: Patent-level Representation Learning using Citation-informed Transformers
- On the Scaling Laws of Geographical Representation in Language Models
- Navigating Hallucinations for Reasoning of Unintentional Activities
- EAMA : Entity-Aware Multimodal Alignment Based Approach for News Image Captioning
- A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
- Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
- SeD: Semantic-Aware Discriminator for Image Super-Resolution
- Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction
- Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
- OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
- Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
- Unraveling Adversarial Examples against Speaker Identification -- Techniques for Attack Detection and Victim Model Classification
- Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process
- Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook
- The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
- One model to use them all: Training a segmentation model with complementary datasets
- Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification
- Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge
- Compact Speech Translation Models via Discrete Speech Units Pretraining
- Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
- Verification of Neural Networks' Global Robustness
- Attacks Against Mobility Prediction in 5G Networks
- HyenaPixel: Global Image Context with Convolutions
- Learnability Gaps of Strategic Classification
- RL-GPT: Integrating Reinforcement Learning and Code-as-policy
- Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing
- An AI based Digital Score of Tumour-Immune Microenvironment Predicts Benefit to Maintenance Immunotherapy in Advanced Oesophagogastric Adenocarcinoma
- Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling
- Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes
- Estimation and Deconvolution of Second Order Cyclostationary Signals
- CAMixerSR: Only Details Need More "Attention"
- StiefelGen: A Simple, Model Agnostic Approach for Time Series Data Augmentation over Riemannian Manifolds
- PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation
- WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset
- SIFT-Aided Rectified 2D-DIC for Displacement and Strain Measurements in Asphalt Concrete Testing
- Modular Blind Video Quality Assessment
- PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval
- Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching
- Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation
- Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach
- T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition
- Spinal Osteophyte Detection via Robust Patch Extraction on minimally annotated X-rays
- Masks, Signs, And Learning Rate Rewinding
- MaskFi: Unsupervised Learning of WiFi and Vision Representations for Multimodal Human Activity Recognition
- Machine learning for modular multiplication
- Feature boosting with efficient attention for scene parsing
- Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark
- Derivative-enhanced Deep Operator Network
- Trained Random Forests Completely Reveal your Dataset
- CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition
- Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain
- Memory-Augmented Generative Adversarial Transformers
- Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
- PeLLE: Encoder-based language models for Brazilian Portuguese based on open data
- PRSA: Prompt Stealing Attacks against Real-World Prompt Services
- Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction
- Negative Sampling in Knowledge Graph Representation Learning: A Review
- Disentangling representations of retinal images with generative models
- StarCoder 2 and The Stack v2: The Next Generation
- Improving Legal Judgement Prediction in Romanian with Long Text Encoders
- Teaching Large Language Models an Unseen Language on the Fly
- Decoupled Subgraph Federated Learning
- MemoNav: Working Memory Model for Visual Navigation
- Effective Message Hiding with Order-Preserving Mechanisms
- Beyond Language Models: Byte Models are Digital World Simulators
- A SAM-guided Two-stream Lightweight Model for Anomaly Detection
- Weakly Supervised Monocular 3D Detection with a Single-View Image
- ProtoP-OD: Explainable Object Detection with Prototypical Parts
- Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool
- Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations
- BigGait: Learning Gait Representation You Want by Large Vision Models
- VIXEN: Visual Text Comparison Network for Image Difference Captioning
- Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
- DeepEraser: Deep Iterative Context Mining for Generic Text Eraser
- CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI
- Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
- FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness
- Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation
- A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration
- Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection
- Best Arm Identification with Resource Constraints
- Survey in Characterizing Semantic Change
- VideoMAC: Video Masked Autoencoders Meet ConvNets
- Smooth Tchebycheff Scalarization for Multi-Objective Optimization
- Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials
- TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
- Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach
- WHU-Synthetic: A Synthetic Perception Dataset for 3-D Multitask Model Research
- Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study
- Atmospheric Turbulence Removal with Video Sequence Deep Visual Priors
- A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces
- How to Train your Antivirus: RL-based Hardening through the Problem-Space
- Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification
- Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness
- Self-supervised Learning-based Reconstruction of High-resolution 4D Light Fields
- SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery
- DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments
- RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation
- GoalNet: Goal Areas Oriented Pedestrian Trajectory Prediction
- Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal Blood Vessel Classification: Issue and Improvement
- COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
- Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series
- Spyx: A Library for Just-In-Time Compiled Optimization of Spiking Neural Networks
- Blume-Capel model analysis with microcanonical population annealing method
- Theoretically Achieving Continuous Representation of Oriented Bounding Boxes
- Generating Graphs via Spectral Diffusion
- PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation
- OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
- Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging
- Boosting Semi-Supervised Object Detection in Remote Sensing Images With Active Teaching
- WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts
- Percept, Chat, and then Adapt: Multimodal Knowledge Transfer of Foundation Models for Open-World Video Recognition
- FedGuCci: Making Local Models More Connected in Landscape for Federated Learning
- Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
- SemEval 2024 -- Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)
- Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
- Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets
- Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution
- Edge Computing Enabled Real-Time Video Analysis via Adaptive Spatial-Temporal Semantic Filtering
- PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds
- Inappropriate Pause Detection In Dysarthric Speech Using Large-Scale Speech Recognition
- A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection
- Semi-Supervised U-statistics
- Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation
- Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
- SNE-RoadSegV2: Advancing Heterogeneous Feature Fusion and Fallibility Awareness for Freespace Detection
- Stop Relying on No-Choice and Do not Repeat the Moves: Optimal, Efficient and Practical Algorithms for Assortment Optimization
- AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
- AKEW: Assessing Knowledge Editing in the Wild
- Facility Location Games with Scaling Effects
- Characterizing the Training Dynamics of Private Fine-tuning with Langevin diffusion
- Prognostic Covariate Adjustment for Logistic Regression in Randomized Controlled Trials
- Aligning Knowledge Graph with Visual Perception for Object-goal Navigation
- Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
- BP-DeepONet: A new method for cuffless blood pressure estimation using the physcis-informed DeepONet
- Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features
- Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling
- Principal Component Analysis as a Sanity Check for Bayesian Phylolinguistic Reconstruction
- Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
- Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition
- LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow
- Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
- Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models
- Taking Second-life Batteries from Exhausted to Empowered using Experiments, Data Analysis, and Health Estimation
- Anatomy-guided fiber trajectory distribution estimation for cranial nerves tractography
- Rethinking Multi-domain Generalization with A General Learning Objective
- Applications of 0-1 Neural Networks in Prescription and Prediction
- Enhancing Steganographic Text Extraction: Evaluating the Impact of NLP Models on Accuracy and Semantic Coherence
- SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting
- Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling
- Deep learning for 3D human pose estimation and mesh recovery: A survey
- When does word order matter and when doesn't it?
- Training-set-free two-stage deep learning for spectroscopic data de-noising
- The Machine Can't Replace the Human Heart
- Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classification
- Batch size invariant Adam
- Debiased Novel Category Discovering and Localization
- Dual Operating Modes of In-Context Learning
- Gradient Alignment for Cross-Domain Face Anti-Spoofing
- How do Large Language Models Handle Multilingualism?
- BFRFormer: Transformer-based generator for Real-World Blind Face Restoration
- On the Decision-Making Abilities in Role-Playing using Large Language Models
- VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
- To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models
- BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data
- ARTiST: Automated Text Simplification for Task Guidance in Augmented Reality
- MPAT: Building Robust Deep Neural Networks against Textual Adversarial Attacks
- FlexLLM: Token-Level Co-Serving of LLM Inference and Finetuning with SLO Guarantees
- OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition
- Brain-inspired and Self-based Artificial Intelligence
- GDCNet: Calibrationless geometric distortion correction of echo planar imaging data using deep learning
- NARUTO: Neural Active Reconstruction from Uncertain Target Observations
- Advancing Generative AI for Portuguese with Open Decoder Gerv'asio PT*
- Exploration of Learned Lifting-Based Transform Structures for Fully Scalable and Accessible Wavelet-Like Image Compression