Papers
Tue 19 Mar 2024
317 papers
- LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent InstructionLLM reasoning → Clinical and biomedical applications +1
- WoLF: Wide-scope Large Language Model Framework for CXR UnderstandingMultimodal LLMs / vision-language models → Medical vision-language models
- Bypassing LLM Watermarks with Color-Aware SubstitutionsLLM safety and security → Watermarking generated content and models
- CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World TrajectoriesEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Fast Value Tracking for Deep Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Optimal Flow Matching: Learning Straight Trajectories in Just One StepDiffusion models → Flow matching, time series and science
- Simple Ingredients for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Digital Twin-Driven Reinforcement Learning for Obstacle Avoidance in Robot Manipulators: A Self-Improving Online Training FrameworkDeep reinforcement learning methods → RL for robot locomotion and manipulation
- RigorLLM: Resilient Guardrails for Large Language Models against Undesired ContentLLM safety and security → Jailbreaking
- Towards Better Statistical Understanding of Watermarking LLMsLLM safety and security → Watermarking generated content and models
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionEfficient LLM inference and serving → Prompt and context compression
- Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Enhancing Vision-Language Few-Shot Adaptation with Negative LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- FouriScale: A Frequency Perspective on Training-Free High-Resolution Image SynthesisDiffusion models → Diffusion foundations and sampling
- FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video TranslationDiffusion models → Video generation
- Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Sample Complexity of Offline Distributionally Robust Linear Markov Decision ProcessesOffline RL and imitation learning from data → Offline RL algorithms +1
- You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANsDiffusion models → Diffusion foundations and sampling
- Ultra-High-Resolution Image Synthesis with Pyramid Diffusion ModelDiffusion models → Diffusion foundations and sampling
- Yell At Your Robot: Improving On-the-Fly from Language CorrectionsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MEDBind: Unifying Language and Multimodal Medical Data EmbeddingsMultimodal LLMs / vision-language models → Medical vision-language models
- Adaptive Visual Imitation Learning for Robotic Assisted Feeding Across Varied Bowl Configurations and Food TypesOffline RL and imitation learning from data → Robot manipulation imitation learning
- HYDRA: A Hyper Agent for Dynamic Compositional Visual ReasoningLLM reasoning → Multimodal reasoning +2
- Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable ManipulationDiffusion models → Diffusion and flow policies for robotics
- Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path PlanningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Generative Enhancement for 3D Medical ImagesDiffusion models → Medical imaging and segmentation
- Policy Bifurcation in Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- AnySkill: Learning Open-Vocabulary Physical Skill for Interactive AgentsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning CompletenessLLM safety and security → Machine unlearning
- VisualCritic: Making LMMs Perceive Visual Quality Like HumansMultimodal LLMs / vision-language models → Image editing and quality assessment
- Contextual Moral Value Alignment Through Context-Based AggregationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- DreamDA: Generative Data Augmentation with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- RelationVLM: Making Large Vision-Language Models Understand Visual RelationsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- WaveFace: Authentic Face Restoration with Efficient Frequency RecoveryDiffusion models → Inverse problems and image restoration
- Instructing Large Language Models to Identify and Ignore Irrelevant ConditionsLLM reasoning → Mathematical reasoning
- Controllable Face Synthesis with Semantic Latent Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Towards Multimodal In-Context Learning for Vision & Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- AnimateDiff-Lightning: Cross-Model Diffusion DistillationDiffusion models → Video generation
- Dynamic Manipulation of Deformable Objects using Imitation Learning with Adaptation to Hardware ConstraintsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Tuning-Free Image Customization with Image and Text GuidanceDiffusion models → Image generation, text-to-image and editing
- Chart-based Reasoning: Transferring Capabilities from LLMs to VLMsLLM reasoning → Multimodal reasoning +1
- FootstepNet: an Efficient Actor-Critic Method for Fast On-line Bipedal Footstep Planning and ForecastingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- LASPA: Latent Spatial Alignment for Fast Training-free Single Image EditingDiffusion models → Image generation, text-to-image and editing
- AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain FrameworkRetrieval-augmented generation → Legal and financial RAG
- M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Generalized Consistency Trajectory Models for Image ManipulationDiffusion models → Diffusion foundations and sampling
- Task-Customized Mixture of Adapters for General Image FusionMixture-of-experts → Vision mixture-of-experts
- DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLMMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Embodied LLM Agents Learn to Cooperate in Organized TeamsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SC-Diff: 3D Shape Completion with Latent Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- End-to-End Neuro-Symbolic Reinforcement Learning with Textual ExplanationsDeep reinforcement learning methods → Interpretable and logic-guided RL
- Do Generated Data Always Help Contrastive Learning?Diffusion models → Diffusion foundations and sampling
- Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Dexterous Functional Pre-Grasp Manipulation with Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics
- Bin Packing Optimization via Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space ModelState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian MotionOffline RL and imitation learning from data → Imitation learning methods
- Understanding and Improving Training-free Loss-based Diffusion GuidanceDiffusion models → Diffusion foundations and sampling +1
- OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size EstimationDiffusion models → 3D, point cloud and scene generation
- RankPrompt: Step-by-Step Comparisons Make Language Models Better ReasonersLLM reasoning → Reasoning benchmarks and evaluation
- Characteristic AI Agents via Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Stochastic Halpern iteration in normed spaces and applications to reinforcement learningDeep reinforcement learning methods → RL theory and sample complexity
- QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
- A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction
- A Big Data Analytics System for Predicting Suicidal Ideation in Real-Time Based on Social Media Streaming Data
- Thermal Crosstalk Modelling and Compensation Methods for Programmable Photonic Integrated Circuits
- Algorithm for AGC index management against crowded radio environment
- Deep learning-based auto-segmentation of paraganglioma for growth monitoring
- Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
- The Use of Generative Search Engines for Knowledge Work and Complex Tasks
- What AIs are not Learning (and Why)
- Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap
- Can AI Outperform Human Experts in Creating Social Media Creatives?
- Most Likely Sequence Generation for n-Grams, Transformers, HMMs, and Markov Chains, by Using Rollout Algorithms
- Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
- FUELVISION: A Multimodal Data Fusion and Multimodel Ensemble Algorithm for Wildfire Fuels Mapping
- Assessing effect sizes, variability, and power in the on-line study of language production
- Fine-Tuning Pre-trained Language Models to Detect In-Game Trash Talks
- The Journey to Trustworthy AI: Pursuit of Pragmatic Frameworks
- FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
- Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers
- Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
- A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators
- Emotion Recognition Using Transformers with Masked Learning
- Depth-guided NeRF Training via Earth Mover's Distance
- Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
- DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
- ADAPT to Robustify Prompt Tuning Vision Transformers
- Hermite coordinate interpolation kernels: application to image zooming
- A Study of Vulnerability Repair in JavaScript Programs with Large Language Models
- 3D Semantic MapNet: Building Maps for Multi-Object Re-Identification in 3D
- Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation
- Predictive, scalable and interpretable knowledge tracing on structured domains
- Castor: Competing shapelets for fast and accurate time series classification
- LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
- Wav2Gloss: Generating Interlinear Glossed Text from Speech
- Improved EATFormer: A Vision Transformer for Medical Image Classification
- VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
- DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen Domains
All 317
- On Training Survival Models with Scoring Rules
- SIFT-DBT: Self-supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification
- Function Trees: Transparent Machine Learning
- Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition
- A Parallel Workflow for Polar Sea-Ice Classification using Auto-labeling of Sentinel-2 Imagery
- Robust NAS under adversarial training: benchmark, theory, and beyond
- Self-generated Replay Memories for Continual Neural Machine Translation
- Better Call SAL: Towards Learning to Segment Anything in Lidar
- AdaFish: Fast low-rank parameter-efficient fine-tuning by using second-order information
- Probabilistic Circuits with Constraints via Convex Optimization
- Modal Analysis of Spatiotemporal Data via Multivariate Gaussian Process Regression
- Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets
- Efficient Encoder-Decoder Transformer Decoding for Decomposable Tasks
- Deep learning with noisy labels in medical prediction problems: a scoping review
- Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing
- Towards Unsupervised Question Answering System with Multi-level Summarization for Legal Text
- Using Shapley interactions to understand how models use structure
- AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
- Train Ego-Path Detection on Railway Tracks Using End-to-End Deep Learning
- JaxUED: A simple and useable UED library in Jax
- Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning
- Listenable Maps for Audio Classifiers
- Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators
- HuLP: Human-in-the-Loop for Prognosis
- SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model
- Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos
- When Do We Not Need Larger Vision Models?
- TAPTR: Tracking Any Point with Transformers as Detection
- Provable Privacy with Non-Private Pre-Processing
- Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping
- Emotic Masked Autoencoder with Attention Fusion for Facial Expression Recognition
- BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models
- Hybrid Unsupervised Learning Strategy for Monitoring Industrial Batch Processes
- Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization
- Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment
- TexTile: A Differentiable Metric for Texture Tileability
- FaceXFormer: A Unified Transformer for Facial Analysis
- WHAC: World-grounded Humans and Cameras
- Dated Data: Tracing Knowledge Cutoffs in Large Language Models
- GVGEN: Text-to-3D Generation with Volumetric Representation
- FutureDepth: Learning to Predict the Future Improves Video Depth Estimation
- Non-Stationary Dueling Bandits Under a Weighted Borda Criterion
- On Safety in Safe Bayesian Optimization
- Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers
- Learning Neural Differential Algebraic Equations via Operator Splitting
- Automatic Information Extraction From Employment Tribunal Judgements Using Large Language Models
- Segment Anything for comprehensive analysis of grapevine cluster architecture and berry properties
- Zero-Reference Low-Light Enhancement via Physical Quadruple Priors
- Supporting Energy Policy Research with Large Language Models
- Contextual AD Narration with Interleaved Multimodal Sequence
- Semantic Layering in Room Segmentation via LLMs
- Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts
- TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation
- Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference
- mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding
- Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport
- EmoVOCA: Speech-Driven Emotional 3D Talking Heads
- Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments
- Clustered Mallows Model
- Short-Term Solar Irradiance Forecasting Under Data Transmission Constraints
- Wildfire danger prediction optimization with transfer learning
- PoNQ: a Neural QEM-based Mesh Representation
- Regularization in Spider-Style Strategy Discovery and Schedule Construction
- A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection
- Epistemology of Language Models: Do Language Models Have Holistic Knowledge?
- Primal Methods for Variational Inequality Problems with Functional Constraints
- FlexiFly: Interfacing the Physical World with Foundation Models Empowered by Reconfigurable Drone Systems
- Planner3D: LLM-enhanced graph prior meets 3D indoor scene explicit regularization
- MELTing point: Mobile Evaluation of Language Transformers
- Global-guided Focal Neural Radiance Field for Large-scale Scene Rendering
- Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation
- Answer Set Programming for Flexible Payroll Management
- FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
- A Physics-embedded Deep Learning Framework for Cloth Simulation
- Dynamic Survival Analysis for Early Event Prediction
- Re-identification from histopathology images
- Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models
- Learning Neural Volumetric Pose Features for Camera Localization
- Investigating Text Shortening Strategy in BERT: Truncation vs Summarization
- DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography
- Total Disentanglement of Font Images into Style and Character Class Features
- ViTGaze: Gaze Following with Interaction Features in Vision Transformers
- Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
- Automated Data Curation for Robust Language Model Fine-Tuning
- Multispectral Image Restoration by Generalized Opponent Transformation Total Variation
- Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
- Neural Parameter Regression for Explicit Representations of PDE Solution Operators
- Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data
- Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection
- Tighter Confidence Bounds for Sequential Kernel Regression
- What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks
- Diffusion-Driven Self-Supervised Learning for Shape Reconstruction and Pose Estimation
- Python Fuzzing for Trustworthy Machine Learning Frameworks
- HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting
- CLASSLA-web: Comparable Web Corpora of South Slavic Languages Enriched with Linguistic and Genre Annotation
- Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
- Instance-Warp: Saliency Guided Image Warping for Unsupervised Domain Adaptation
- Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition
- Selective Domain-Invariant Feature for Generalizable Deepfake Detection
- Learning Cross-view Visual Geo-localization without Ground Truth
- Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency
- As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
- LNPT: Label-free Network Pruning and Training
- SEVEN: Pruning Transformer Model by Reserving Sentinels
- Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decision
- WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar
- IFFNeRF: Initialisation Free and Fast 6DoF pose estimation from a single image and a NeRF model
- Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights
- Pragmatic Competence Evaluation of Large Language Models for the Korean Language
- Improving Interpretability of Scores in Anomaly Detection Based on Gaussian-Bernoulli Restricted Boltzmann Machine
- Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering
- Driving Animatronic Robot Facial Expression From Speech
- Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean
- Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making
- ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
- Graph Neural Networks for Carbon Dioxide Adsorption Prediction in Aluminium-Exchanged Zeolites
- Adaptive Multilevel Neural Networks for Parametric PDEs with Error Estimation
- InBox: Recommendation with Knowledge Graph using Interest Box Embedding
- Prompt-fused framework for Inductive Logical Query Answering
- Automated Contrastive Learning Strategy Search for Time Series
- A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science
- PointGrasp: Point Cloud-based Grasping for Tendon-driven Soft Robotic Glove Applications
- Enhancing Formal Theorem Proving: A Comprehensive Dataset for Training AI Models on Coq Code
- SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition
- On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification
- LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models
- Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance
- Machine Learning of the Prime Distribution
- Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
- EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
- Lifting Multi-View Detection and Tracking to the Bird's Eye View
- Compound Expression Recognition via Multi Model Ensemble
- Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images
- Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices
- Simple Hack for Transformers against Heavy Long-Text Classification on a Time- and Memory-Limited GPU Service
- PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis
- Confidence Self-Calibration for Multi-Label Class-Incremental Learning
- Factorized Learning Assisted with Large Language Model for Gloss-free Sign Language Translation
- Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
- RGBD GS-ICP SLAM
- AffineQuant: Affine Transformation Quantization for Large Language Models
- HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching
- Community detection by spectral methods in multi-layer networks
- Prompt-Guided Foundation Model Tuning for Pathology Image Classification
- Vox-Fusion++: Voxel-based Neural Implicit Dense Tracking and Mapping with Multi-maps
- High-Fidelity SLAM Using Gaussian Splatting with Rendering-Guided Densification and Regularized Optimization
- ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More
- To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions
- UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All
- PCT: Perspective Cue Training Framework for Multi-Camera BEV Segmentation
- Contextualized Messages Boost Graph Representations
- Prompt-based Graph Model for Joint Liberal Event Extraction and Event Schema Induction
- GraphERE: Jointly Multiple Event-Event Relation Extraction via Graph-Enhanced Event Embeddings
- Dynamic Spatial-Temporal Aggregation for Skeleton-Aware Sign Language Recognition
- Projected Forward Gradient-Guided Frank-Wolfe Algorithm via Variance Reduction
- Semantics, Distortion, and Style Matter: Towards Source-free UDA for Panoramic Segmentation
- Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
- A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems
- A Trainable Feature Extractor Module for Deep Neural Networks and Scanpath Classification
- NTK-Guided Few-Shot Class Incremental Learning
- A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images
- TT-BLIP: Enhancing Fake News Detection Using BLIP and Tri-Transformer
- FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
- PostoMETRO: Pose Token Enhanced Mesh Transformer for Robust 3D Human Mesh Recovery
- When Do "More Contexts" Help with Sarcasm Recognition?
- CrossTune: Black-Box Few-Shot Classification with Label Enhancement
- Few-shot Object Localization
- Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks
- Non-negative Contrastive Learning
- Privacy-Preserving Face Recognition Using Trainable Feature Subtraction
- CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance Segmentation
- Intention Action Anticipation Model with Guide-Feedback Loop Mechanism
- Self-learning Canonical Space for Multi-view 3D Human Pose Estimation
- Precise-Physics Driven Text-to-3D Generation
- Human Mesh Recovery from Arbitrary Multi-view Images
- Prototipo de video juego activo basado en una c'amara 3D para motivar la actividad f'isica en ni~nos y adultos mayores
- Geometric Constraints in Deep Learning Frameworks: A Survey
- TransformMix: Learning Transformation and Mixing Strategies from Data
- Transfer in Sequential Multi-armed Bandits via Reward Samples
- Multimodal Fusion Method with Spatiotemporal Sequences and Relationship Learning for Valence-Arousal Estimation
- Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
- On Predictive planning and counterfactual learning in active inference
- Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
- VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation
- Third-Party Language Model Performance Prediction from Instruction
- ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance
- MSLM-S2ST: A Multitask Speech Language Model for Textless Speech-to-Speech Translation with Speaker Style Preservation
- Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator
- Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
- An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis
- RT-NeRV: Rethinking Hybrid Neural Representations for Video via Residual Tokenization
- Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensing
- Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks
- Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering
- AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis
- FairSTG: Countering performance heterogeneity via collaborative sample-level optimization
- Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
- Pipelined Biomedical Event Extraction Rivaling Joint Learning
- Benchmarking Badminton Action Recognition with a New Fine-Grained Dataset
- AlignRec: Aligning and Training in Multimodal Recommendations
- Low-Trace Adaptation of Zero-shot Self-supervised Blind Image Denoising
- Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning
- Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
- Advancing Time Series Classification with Multimodal Language Modeling
- XPose: eXplainable Human Pose Estimation
- Learning covariate importance for matching in policy-relevant observational research
- U-Net Kalman Filter (UNetKF): An Example of Machine Learning-assisted Ensemble Data Assimilation
- GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation
- Class and Region-Adaptive Constraints for Network Calibration
- DMAD: Dual Memory Bank for Real-World Anomaly Detection
- An Alternative Graphical Lasso Algorithm for Precision Matrices
- Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation
- Friendly Sharpness-Aware Minimization
- Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition
- Temporally Consistent Koopman Autoencoders for Forecasting Dynamical Systems
- Deep Few-view High-resolution Photon-counting CT at Halved Dose for Extremity Imaging
- FedFisher: Leveraging Fisher Information for One-Shot Federated Learning