Papers
Tue 27 Aug 2024
255 papers
- Feedback-based Modal Mutual Search for Attacking Vision-Language Pre-training ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and AnalysisLLM reasoning → Multimodal reasoning +1
- Nuance Matters: Probing Epistemic Consistency in Causal ReasoningLLM reasoning → Causal reasoning in LLMs
- Simultaneous Training of First- and Second-Order Optimizers in Population-Based Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- A Statistical Framework for Data-dependent Retrieval-Augmented ModelsRetrieval-augmented generation → Generation and context integration
- Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-ResolutionDiffusion models → Inverse problems and image restoration
- DualKanbaFormer: An Efficient Selective Sparse Framework for Multimodal Aspect-based Sentiment AnalysisState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Optimization Solution Functions as Deterministic Policies for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- UNA: A Unified Supervised Framework for Efficient LLM Alignment Across Feedback TypesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- What makes math problems hard for reinforcement learning: a case studyDeep reinforcement learning methods → RL for games and combinatorial optimization
- Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph AnalysisMixture-of-experts → Efficient MoE training and inference systems
- TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein EngineeringLLM agents and tool use → Medical and scientific domain agents
- GenRec: Unifying Video Generation and Recognition with Diffusion ModelsDiffusion models → Video generation
- Generative Verifiers: Reward Modeling as Next-Token PredictionLLM reasoning → Reinforcement learning for reasoning +1
- Generative Inbetweening: Adapting Image-to-Video Models for Keyframe InterpolationDiffusion models → Video generation
- The Mamba in the Llama: Distilling and Accelerating Hybrid ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent ConversationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks YetLLM safety and security → Jailbreaking
- Understanding the Effectiveness of Coverage Criteria for Large Language Models: A Special Angle from Jailbreak AttacksLLM safety and security → Jailbreaking
- SpecGuard: Specification Aware Recovery for Robotic Autonomous Vehicles from Physical AttacksEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Measuring text summarization factuality using atomic facts entailment metrics in the context of retrieval augmented generationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-RaysDiffusion models → Medical imaging and segmentation
- MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based DecodersState-space sequence models (S4, Mamba) → Vision Mamba backbones
- No Regrets: Investigating and Improving Regret Approximations for Curriculum DiscoveryDeep reinforcement learning methods → Deep RL algorithms and representations
- Constrained Diffusion Models via Dual TrainingDiffusion models → Diffusion foundations and sampling
- Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- MiWaves Reinforcement Learning AlgorithmDeep reinforcement learning methods → RL for clinical treatment and surgery
- MegActor-Sigma: Unlocking Flexible Mixed-Modal Control in Portrait Animation with Diffusion TransformerDiffusion models → Audio, speech and music
- AgentMonitor: A Plug-and-Play Framework for Predictive and Secure Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference DataLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Learning Robust Reward Machines from Noisy LabelsDeep reinforcement learning methods → Interpretable and logic-guided RL
- ZeroMamba: Exploring Visual State Space Model for Zero-Shot LearningState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Advancing Adversarial Suffix Transfer Learning on Aligned Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problemsDeep reinforcement learning methods → RL for energy, networks and operations
- DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in PoseDiffusion models → 3D, point cloud and scene generation
- Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RLLLM reasoning → Reinforcement learning for reasoning
- Atoxia: Red-teaming Large Language Models with Target Toxic AnswersLLM safety and security → Prompt injection and agent security
- Project SHADOW: Symbolic Higher-order Associative Deductive reasoning On Wikidata using LM probingLLM reasoning → Reasoning benchmarks and evaluation
- Diffusion Models Are Real-Time Game EnginesWorld models → Video-generation world models and simulators +1
- Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image GenerationDiffusion models → Image generation, text-to-image and editing
- HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure ModelingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Unsupervised-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms +1
- MROVSeg: Breaking the Resolution Curse of Vision-Language Models in Open-Vocabulary Image SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View SynthesisDiffusion models → Diffusion and flow policies for robotics
- Benchmarking Reinforcement Learning Methods for Dexterous Robotic Manipulation with a Three-Fingered GripperDeep reinforcement learning methods → RL for robot locomotion and manipulation
- RSTeller: Scaling Up Visual Language Modeling in Remote Sensing with Rich Linguistic Semantics from Openly Available Data and Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Learning Differentially Private Diffusion Models via Stochastic Adversarial DistillationDiffusion models → Robustness, privacy and adversarial aspects
- OctFusion: Octree-based Diffusion Models for 3D Shape GenerationDiffusion models → 3D, point cloud and scene generation
- Reflective Human-Machine Co-adaptation for Enhanced Text-to-Image Generation Dialogue System
- Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
- S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
- Urban context and delivery performance: Modelling service time for cargo bikes and vans across diverse urban environments
- How will advanced AI systems impact democracy?
- Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification Approach
- In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
- MA-CDMR: An Intelligent Cross-domain Multicast Routing Method based on Multiagent Deep Reinforcement Learning in Multi-domain SDWN
- Pattern based learning and optimisation through pricing for bin packing problem
- Wait, that's not an option: LLMs Robustness with Incorrect Multiple-Choice Options
- Toward Large Language Models as a Therapeutic Tool: Comparing Prompting Techniques to Improve GPT-Delivered Problem-Solving Therapy
- Evaluating the Impact of Multiple DER Aggregators on Wholesale Energy Markets: A Hybrid Mean Field Approach
- Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation
- NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
- Query-by-Example Keyword Spotting Using Spectral-Temporal Graph Attentive Pooling and Multi-Task Learning
- How to Train Text Summarization Model with Weak Supervisions
- Large Language Models for Disease Diagnosis: A Scoping Review
- Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Data
- Ensuring Equitable Financial Decisions: Leveraging Counterfactual Fairness and Deep Learning for Bias
- Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing
- Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations
- Characterizing Physician Referral Networks with Ricci Curvature
- XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
- TCNFormer: Temporal Convolutional Network Former for Short-Term Wind Speed Forecasting
- Graph Attention Inference of Network Topology in Multi-Agent Systems
- Fine-grained length controllable video captioning with ordinal embeddings
- Pathfinding with Lazy Successor Generation
- Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertia
- HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles
- Fast and Modular Autonomy Software for Autonomous Racing Vehicles
- Understanding GNNs for Boolean Satisfiability through Approximation Algorithms
- Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations
- Awes, Laws, and Flaws From Today's LLM Research
- A physics-encoded Fourier neural operator approach for surrogate modeling of divergence-free stress fields in solids
- Intertwined Biases Across Social Media Spheres: Unpacking Correlations in Media Bias Dimensions
- Evaluating Credit VIX (CDS IV) Prediction Methods with Incremental Batch Learning
- Exploring the origins of switching dynamics in a multifunctional reservoir computer
- Evaluating Pre-Training Bias on Severe Acute Respiratory Syndrome Dataset
- SCAN-Edge: Finding MobileNet-speed Hybrid Networks for Diverse Edge Devices via Hardware-Aware Evolutionary Search
- Linear Stability Analysis of Physics-Informed Random Projection Neural Networks for ODEs
- Panoptic Perception for Autonomous Driving: A Survey
- On Stateful Value Factorization in Multi-Agent Reinforcement Learning
- CycleGAN with Better Cycles
- Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral Images
- Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks
- Pitfalls and Outlooks in Using COMET
- On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory conditions
- Optimal level set estimation for non-parametric tournament and crowdsourcing problems
- Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by Dragonfly Algorithm (DA)
- What Is Required for Empathic AI? It Depends, and Why That Matters for AI Developers and Users
- Conformal Disentanglement and Latent-Space Curation: A Neural Framework for Perspective Synthesis, Differentiation and Targeted Generation
All 255
- Artificially intelligent Maxwell's demon for optimal control of open quantum systems
- RGDA-DDI: Residual graph attention network and dual-attention based framework for drug-drug interaction prediction
- The Uniqueness of LLaMA3-70B Series with Per-Channel Quantization
- GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
- YOLO-Stutter: End-to-end Region-Wise Speech Dysfluency Detection
- Feature Representations for Automatic Meerkat Vocalization Classification
- Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies
- Learning Granularity Representation for Temporal Knowledge Graph Completion
- Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty
- Learning-based Multi-View Stereo: A Survey
- DCT-CryptoNets: Scaling Private Inference in the Frequency Domain
- SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating Medical Images
- Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment
- Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance
- Classifying populist language in American presidential and governor speeches using automatic text analysis
- Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
- Can Unconfident LLM Annotations Be Used for Confident Conclusions?
- An Investigation on The Position Encoding in Vision-Based Dynamics Prediction
- Automatic 8-tissue Segmentation for 6-month Infant Brains
- Infusing Acoustic Pause Context into Text-Based Dementia Assessment
- Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformer
- On latent dynamics learning in nonlinear reduced order modeling
- A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships
- Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization
- Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning
- X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation
- Latent Ewald summation for machine learning of long-range interactions
- Empowering Sign Language Communication: Integrating Sentiment and Semantics for Facial Expression Synthesis
- Delay as Payoff in MAB
- A Preliminary Exploration Towards General Image Restoration
- How transformers learn structured data: insights from hierarchical filtering
- Low-Budget Simulation-Based Inference with Bayesian Neural Networks
- Using LLMs for Explaining Sets of Counterfactual Examples to Final Users
- Evaluating the Energy Consumption of Machine Learning: Systematic Literature Review and Experiments
- T-FAKE: Synthesizing Thermal Images for Facial Landmarking
- Force-Guided Bridge Matching for Full-Atom Time-Coarsened Dynamics of Peptides
- Machine Learning for Methane Detection and Quantification from Space - A survey
- Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis
- A Permuted Autoregressive Approach to Word-Level Recognition for Urdu Digital Text
- Evaluating Stability of Unreflective Alignment
- Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
- AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection
- Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven Approach
- CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIP
- Data-Driven Nonlinear Deformation Design of 3D-Printable Shells
- Post-processing fairness with minimal changes
- SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration
- BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline
- MMASD+: A Novel Dataset for Privacy-Preserving Behavior Analysis of Children with Autism Spectrum Disorder
- Interactive dense pixel visualizations for time series and model attribution explanations
- Geometric Artifact Correction for Symmetric Multi-Linear Trajectory CT: Theory, Method, and Generalization
- The Benefits of Balance: From Information Projections to Variance Reduction
- Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance
- Subgroup Analysis via Model-based Rule Forest
- Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation
- Self-supervised Topic Taxonomy Discovery in the Box Embedding Space
- DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding
- Earth Observation Satellite Scheduling with Graph Neural Networks and Monte Carlo Tree Search
- A Survey of Large Language Models for European Languages
- Interactive Occlusion Boundary Estimation through Exploitation of Synthetic Data
- Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering
- Mamba2MIL: State Space Duality Based Multiple Instance Learning for Computational Pathology
- UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Movement Guidance
- Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection
- Cross-subject Brain Functional Connectivity Analysis for Multi-task Cognitive State Evaluation
- Alternating Minimization Schemes for Computing Rate-Distortion-Perception Functions with f-Divergence Perception Constraints
- Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training
- Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation
- FastTextSpotter: A High-Efficiency Transformer for Multilingual Scene Text Spotting
- Depth Restoration of Hand-Held Transparent Objects for Human-to-Robot Handover
- Speech Recognition Transformers: Topological-lingualism Perspective
- LN-Gen: Rectal Lymph Nodes Generation via Anatomical Features
- Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning
- MRSE: An Efficient Multi-modality Retrieval System for Large Scale E-commerce
- Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
- Deep Learning-based Average Shear Wave Velocity Prediction using Accelerometer Records
- CVPT: Cross Visual Prompt Tuning
- Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress
- Applying ViT in Generalized Few-shot Semantic Segmentation
- Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems
- NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework
- ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning
- BOX3D: Lightweight Camera-LiDAR Fusion for 3D Object Detection and Localization
- Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
- CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring
- Targeting the partition function of chemically disordered materials with a generative approach based on inverse variational autoencoders
- Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model
- Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning
- Towards Real-world Event-guided Low-light Video Enhancement and Deblurring
- Can Transformers Do Enumerative Geometry?
- SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
- Tripl`etoile: Extraction of Knowledge from Microblogging Text
- Writing in the Margins: Better Inference Pattern for Long Context Retrieval
- MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation
- VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities
- A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm
- Development of Large Annotated Music Datasets using HMM-based Forced Viterbi Alignment
- Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6
- Literary and Colloquial Dialect Identification for Tamil using Acoustic Features
- The VoxCeleb Speaker Recognition Challenge: A Retrospective
- Adversarial Manhole: Challenging Monocular Depth Estimation and Semantic Segmentation Models with Patch Attack
- Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures
- Data downlink prioritization using image classification on-board a 6U CubeSat
- Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resection
- Diffusion-Occ: 3D Point Cloud Completion via Occupancy Diffusion
- AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark
- Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging
- From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models
- Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
- CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
- Strategic Optimization and Challenges of Large Language Models in Object-Oriented Programming
- DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing
- PolicyLR: A Logic Representation For Privacy Policies
- Time-Aware Face Anti-Spoofing with Rotation Invariant Local Binary Patterns and Deep Learning
- Alfie: Democratising RGBA Image Generation With No
- From Rule-Based Models to Deep Learning Transformers Architectures for Natural Language Processing and Sign Language Translation Systems: Survey, Taxonomy and Performance Evaluation
- LapisGS: Layered Progressive 3D Gaussian Splatting for Adaptive Streaming
- Data-driven Effective Modeling of Multiscale Stochastic Dynamical Systems
- A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets
- Brain-inspired Artificial Intelligence: A Comprehensive Review
- Generalist Segmentation Algorithm for Photoreceptors Analysis in Adaptive Optics Imaging
- GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment Analysis
- Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications
- Platypus: A Generalized Specialist Model for Reading Text in Various Forms
- RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images
- MaskCycleGAN-based Whisper to Normal Speech Conversion
- Measuring Human Contribution in AI-Assisted Content Generation
- Optimizing Structured Data Processing through Robotic Process Automation
- Revisiting Surgical Instrument Segmentation Without Human Intervention: A Graph Partitioning View
- Learning from Complementary Features
- GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks
- GPU-Accelerated Counterfactual Regret Minimization
- Quartered Chirp Spectral Envelope for Whispered vs Normal Speech Classification
- Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
- A global AI community requires language-diverse publishing
- Text-guided Foundation Model Adaptation for Long-Tailed Medical Image Classification
- SynthDoc: Bilingual Documents Synthesis for Visual Document Understanding
- Channel Matters: Estimating Channel Influence for Multivariate Time Series
- Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction
- Learning effective pruning at initialization from iterative pruning
- Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models
- Sequential-Scanning Dual-Energy CT Imaging Using High Temporal Resolution Image Reconstruction and Error-Compensated Material Basis Image Generation
- CoopASD: Cooperative Machine Anomalous Sound Detection with Privacy Concerns
- LyCon: Lyrics Reconstruction from the Bag-of-Words Using Large Language Models
- Personalized Video Summarization using Text-Based Queries and Conditional Modeling
- Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning
- General-Kindred Physics-Informed Neural Network to the Solutions of Singularly Perturbed Differential Equations
- Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training
- GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning
- Snap and Diagnose: An Advanced Multimodal Retrieval System for Identifying Plant Diseases in the Wild
- PAT: Pruning-Aware Tuning for Large Language Models
- Residual-based Adaptive Huber Loss (RAHL) -- Design of an improved Huber loss for CQI prediction in 5G networks
- Text2SQL is Not Enough: Unifying AI and Databases with TAG
- StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech
- Is Audio Spoof Detection Robust to Laundering Attacks?