Papers
Tue 12 Dec 2023
293 papers
- One-Step Diffusion Distillation via Deep Equilibrium ModelsDiffusion models → Diffusion foundations and sampling
- Building Open-Ended Embodied Agent via Language-Policy Bidirectional AdaptationLLM agents and tool use → Multimodal and embodied agents
- LLM in a flash: Efficient Large Language Model Inference with Limited MemoryEfficient LLM inference and serving → Serving systems and request scheduling
- Maatphor: Automated Variant Analysis for Prompt Injection AttacksLLM safety and security → Prompt injection and agent security
- Rethinking the Instruction Quality: LIFT is What You NeedLLM reasoning → Reasoning benchmarks and evaluation
- Neural Video Fields EditingDiffusion models → Video generation
- Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsMixture-of-experts → Vision mixture-of-experts
- Domain Prompt Learning with Quaternion NetworksMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image GenerationsDiffusion models → Image generation, text-to-image and editing
- Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge GapsRetrieval-augmented generation → RAG pipeline design and evaluation
- Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL ApproachOffline RL and imitation learning from data → Imitation and offline RL for driving
- A Perspective of Q-value Estimation on Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- diff History for Neural Language AgentsLLM agents and tool use → Agent memory systems
- FreeInit: Bridging Initialization Gap in Video Diffusion ModelsDiffusion models → Video generation
- FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any ConditionDiffusion models → Image generation, text-to-image and editing
- Cosmological Field Emulation and Parameter Inference with Diffusion ModelsDiffusion models → Inverse problems and image restoration
- VILA: On Pre-training for Visual Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning AbilityLLM reasoning → Reasoning benchmarks and evaluation
- PEEKABOO: Interactive Video Generation via Masked-DiffusionWorld models → Video-generation world models and simulators
- LMDrive: Closed-Loop End-to-End Driving with Large Language ModelsEnd-to-end autonomous driving → Large language models for driving
- Daily Assistive View Control Learning of Low-Cost Low-Rigidity Robot via Large-Scale Vision-Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMsLLM safety and security → Machine unlearning
- DiffMorpher: Unleashing the Capability of Diffusion Models for Image MorphingDiffusion models → Image generation, text-to-image and editing
- Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- On Diversified Preferences of Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated RationalesLLM reasoning → Clinical and biomedical applications
- Boosting Latent Diffusion with Flow MatchingDiffusion models → Diffusion foundations and sampling
- Learned representation-guided diffusion models for large-image generationDiffusion models → Medical imaging and segmentation
- A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
- Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds GenerationDiffusion models → 3D, point cloud and scene generation +1
- Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language ModelsLLM safety and security → Membership inference attacks
- Equivariant Flow Matching with Hybrid Probability TransportDiffusion models → Flow matching, time series and science
- LatentMan: Generating Consistent Animated Characters using Image Diffusion ModelsDiffusion models → Video generation
- Image Content Generation with Causal ReasoningLLM reasoning → Multimodal reasoning
- Harnessing LLM to Attack LLM-Guarded Text-to-Image ModelsLLM safety and security → Vision-language and text-to-image safety
- Neural Reasoning About Agents' Goals, Preferences, and ActionsLLM reasoning → Reasoning benchmarks and evaluation
- Generating High-Resolution Regional Precipitation Using Conditional Diffusion ModelDiffusion models → Flow matching, time series and science
- Template Free Reconstruction of Human-object Interaction with Procedural Interaction GenerationDiffusion models → Video generation
- ThinkBot: Embodied Instruction Following with Thought Chain ReasoningLLM reasoning → Spatial and embodied reasoning
- Rethinking Compression: Reduced Order Modelling of Latent Features in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of ExpertsMixture-of-experts → Expert routing strategies
- Dynamic Corrective Self-Distillation for Better Fine-Tuning of Pretrained ModelsKnowledge distillation → Knowledge distillation for LLMs
- Alignment for HonestyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR ImagesDiffusion models → Medical imaging and segmentation
- CCM: Adding Conditional Controls to Text-to-Image Consistency ModelsDiffusion models → Image generation, text-to-image and editing
- Hallucination Augmented Contrastive Learning for Multimodal Large Language ModelMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote AlignmentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- AI Control: Improving Safety Despite Intentional SubversionLLM safety and security → Prompt injection and agent security
- Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context AttackLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- LoRA-Enhanced Distillation on Guided Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- AI in Supply Chain Risk Assessment: A Systematic Literature Review and Bibliometric Analysis
- Large language models in healthcare and medical domain: A review
- Sensor Placement for Learning in Flow Networks
- Deep Learning-based Sentiment Classification: A Comparative Survey
- SEOpinion: Summarization and Exploration Opinion of E-Commerce Websites
- Translating Natural Language Queries to SQL Using the T5 Model
- A Natural Language Processing-Based Classification and Mode-Based Ranking of Musculoskeletal Disorder Risk Factors
- Path Signature Representation of Patient-Clinician Interactions as a Predictor for Neuropsychological Tests Outcomes in Children: A Proof of Concept
- ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity
- QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks
- Toward a Reinforcement-Learning-Based System for Adjusting Medication to Minimize Speech Disfluency
- EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection
- GenDet: Towards Good Generalizations for AI-Generated Image Detection
- Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency
- May the Noise be with you: Adversarial Training without Adversarial Examples
- OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection
- What, How, and When Should Object Detectors Update in Continually Changing Test Domains?
- Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens
- Multi-criteria recommendation systems to foster online grocery
- Exploring Graph Based Approaches for Author Name Disambiguation
- A Structural Complexity Analysis of Synchronous Dynamical Systems
- Taking it further: leveraging pseudo labels for field delineation across label-scarce smallholder regions
- Contextually Affinitive Neighborhood Refinery for Deep Clustering
- Uncertainty Visualization via Low-Dimensional Posterior Projections
- Estimation of embedding vectors in high dimensions
- Sentiment analysis in Tourism: Fine-tuning BERT or sentence embeddings concatenation?
- Differentially private projection-depth-based medians
- Characteristic Circuits
- Robust MRI Reconstruction by Smoothed Unrolling (SMUG)
- Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups
- Tell, don't show: Declarative facts influence how LLMs generalize
- Incremental hierarchical text clustering methods: a review
- Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery
- Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization
- Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology
- IDKM: Memory Efficient Neural Network Quantization via Implicit, Differentiable k-Means
- Polynomial-based Self-Attention for Table Representation learning
- FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems
- Hierarchical Classification of Financial Transactions Through Context-Fusion of Transformer-based Embeddings and Taxonomy-aware Attention Layer
- MedYOLO: A Medical Image Object Detection Framework
- Automated Behavioral Analysis Using Instance Segmentation
- Saturn Platform: Foundation Model Operations and Generative AI for Financial Services
- CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs
- Leveraging Large Language Models to Build and Execute Computational Workflows
- Brain-optimized inference improves reconstructions of fMRI brain activity
- Machine Learning and Citizen Science Approaches for Monitoring the Changing Environment
- Real-time Network Intrusion Detection via Decision Transformers
- GP+: A Python Library for Kernel-based learning via Gaussian Processes
- A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams
- I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives
All 293
- Bayesian Online Learning for Consensus Prediction
- Reacting like Humans: Incorporating Intrinsic Human Behaviors into NAO through Sound-Based Reactions to Fearful and Shocking Events for Enhanced Sociability
- GMTalker: Gaussian Mixture-based Audio-Driven Emotional Talking Video Portraits
- CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
- Teaching Unknown Objects by Leveraging Human Gaze and Augmented Reality in Human-Robot Interaction
- Responsibility in Extensive Form Games
- Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply
- Clash of the Explainers: Argumentation for Context-Appropriate Explanations
- SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction
- AI-driven projection tomography with multicore fibre-optic cell rotation
- Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networks
- Multimodal Sentiment Analysis: Perceived vs Induced Sentiments
- Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling
- A dynamical clipping approach with task feedback for Proximal Policy Optimization
- Supervised Contrastive Learning for Fine-grained Chromosome Recognition
- Mathematical Language Models: A Survey
- SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration
- HeadArtist: Text-conditioned 3D Head Generation with Self Score Distillation
- Anatomically Constrained Implicit Face Models
- Improved Frequency Estimation Algorithms with and without Predictions
- Interfacing Foundation Models' Embeddings
- WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion
- Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance
- Topological Obstructions and How to Avoid Them
- RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation
- Learning finitely correlated states: stability of the spectral reconstruction
- A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
- NAC-TCN: Temporal Convolutional Networks with Causal Dilated Neighborhood Attention for Emotion Understanding
- COLMAP-Free 3D Gaussian Splatting
- Multi-Branch Network for Imagery Emotion Prediction
- Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection
- SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models
- NearbyPatchCL: Leveraging Nearby Patches for Self-Supervised Patch-Level Multi-Class Classification in Whole-Slide Images
- MinD-3D: Reconstruct High-quality 3D objects in Human Brain
- Classification of retail products: From probabilistic ranking to neural networks
- Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions
- Double-Flow GAN model for the reconstruction of perceived faces from brain activities
- Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection
- MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception
- Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery
- Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification
- Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling
- BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics
- Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things
- Cross-modal Contrastive Learning with Asymmetric Co-attention Network for Video Moment Retrieval
- Multi-Modal Conformal Prediction Regions with Simple Structures by Optimizing Convex Shape Templates
- Ensemble Federated Learning: an approach for collaborative pneumonia diagnosis
- Deep Internal Learning: Deep Learning from a Single Input
- How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation
- Holoported Characters: Real-time Free-viewpoint Rendering of Humans from Sparse RGB Cameras
- Towards Faster k-Nearest-Neighbor Machine Translation
- Attention Based Encoder Decoder Model for Video Captioning in Nepali (2023)
- QSMVM: QoS-aware and social-aware multimetric routing protocol for video-streaming services over MANETs
- AI capabilities can be significantly improved without expensive retraining
- ICL Markup: Structuring In-Context Learning using Soft-Token Tags
- LLMEval: A Preliminary Study on How to Evaluate Large Language Models
- A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
- ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning
- Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems
- Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty
- GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance
- Visual Self-paced Iterative Learning for Unsupervised Temporal Action Localization
- ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
- X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge Transfer
- Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects
- Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning
- Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples
- Sequential Planning in Large Partially Observable Environments guided by LLMs
- Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
- Automatic coral reef fish identification and 3D measurement in the wild
- CLIP in Medical Imaging: A Survey
- CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Tools
- Can ChatGPT Play the Role of a Teaching Assistant in an Introductory Programming Course?
- Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
- Self-supervised Adaptive Pre-training of Multilingual Speech Models for Language and Dialect Identification
- RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation
- Momentum Particle Maximum Likelihood
- Coupled Confusion Correction: Learning from Crowds with Sparse Annotations
- Adaptive Confidence Multi-View Hashing for Multimedia Retrieval
- GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos
- GateNet: A novel Neural Network Architecture for Automated Flow Cytometry Gating
- NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image
- Scalable Motion Style Transfer with Constrained Diffusion Generation
- SCCA: Shifted Cross Chunk Attention for long contextual semantic expansion
- From Knowledge Representation to Knowledge Organization and Back
- Complex Recurrent Spectral Network
- Forced Exploration in Bandit Problems
- Class Probability Matching Using Kernel Methods for Label Shift Adaptation
- Towards Safe Multi-Task Bayesian Optimization
- Towards Equipping Transformer with the Ability of Systematic Compositionality
- Benchmarking Pretrained Vision Embeddings for Near- and Duplicate Detection in Medical Images
- Analyze the Robustness of Classifiers under Label Noise
- ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection
- Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation
- SSTA: Salient Spatially Transformed Attack
- GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction
- The GUA-Speech System Description for CNVSRC Challenge 2023
- Identifying Drivers of Predictive Aleatoric Uncertainty
- Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning
- Multi-Granularity Framework for Unsupervised Representation Learning of Time Series
- Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs
- DTA: Distribution Transform-based Attack for Query-Limited Scenario
- Toxic language detection: a systematic review of Arabic datasets
- Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior
- Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation
- Exploring Large Language Models to Facilitate Variable Autonomy for Human-Robot Teaming
- Brain-inspired Computing Based on Deep Learning for Human-computer Interaction: A Review
- More than Vanilla Fusion: a Simple, Decoupling-free, Attention Module for Multimodal Fusion Based on Signal Theory
- Experimental Investigation of Machine Learning based Soft-Failure Management using the Optical Spectrum
- MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation
- A churn prediction dataset from the telecom sector: a new benchmark for uplift modeling
- SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics
- Verbreitungsmechanismen sch"adigender Sprache im Netz: Anatomie zweier Shitstorms
- Shifted Autoencoders for Point Annotation Restoration in Object Counting
- Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm
- Classifying complex documents: comparing bespoke solutions to large language models
- Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
- Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms
- Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
- Investigation into the Training Dynamics of Learned Optimizers
- Semi-supervised Active Learning for Video Action Detection
- Language-Guided Transformer for Federated Multi-Label Classification
- One-dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets
- Cost Aware Untargeted Poisoning Attack against Graph Neural Networks,
- The Gaussian-Linear Hidden Markov model: a Python package
- Contextual Bandits with Online Neural Regression
- The Parameterized Complexity of Coordinated Motion Planning
- General Tail Bounds for Non-Smooth Stochastic Mirror Descent
- Multilingual large language models leak human stereotypes across language boundaries
- MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
- TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification
- LLMs Perform Poorly at Concept Extraction in Cyber-security Research Literature
- The Logic of Doxastic Strategies
- SGLang: Efficient Execution of Structured Language Model Programs
- The Computational Complexity of Concise Hypersphere Classification
- Calibration-free quantitative phase imaging in multi-core fiber endoscopes using end-to-end deep learning
- Meta-survey on outlier and anomaly detection
- Lightweight high-resolution Subject Matting in the Real World
- BED: Bi-Encoder-Decoder Model for Canonical Relation Extraction
- Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise
- The AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment
- Continual Learning through Networks Splitting and Merging with Dreaming-Meta-Weighted Model Fusion
- Spatial-Contextual Discrepancy Information Compensation for GAN Inversion
- Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications
- Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training
- DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models
- Efficient Cross-Domain Federated Learning by MixStyle Approximation
- MaxQ: Multi-Axis Query for N:M Sparsity Network
- LSTM-CNN Network for Audio Signature Analysis in Noisy Environments
- Communication Cost Reduction for Subgraph Counting under Local Differential Privacy via Hash Functions
- Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography
- Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation
- Improving Factual Error Correction by Learning to Inject Factual Errors
- Edge Wasserstein Distance Loss for Oriented Object Detection
- Large Foundation Models for Power Systems
- The Complexity of Envy-Free Graph Cutting
- Rethinking Model Inversion Attacks With Patch-Wise Reconstruction
- Open-Pose 3D Zero-Shot Learning: Benchmark and Challenges
- Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound
- Noise Distribution Decomposition based Multi-Agent Distributional Reinforcement Learning
- EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning
- Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification
- Vision-language Assisted Attribute Learning
- Mixed Pseudo Labels for Semi-Supervised Object Detection
- RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality
- DGNet: Dynamic Gradient-Guided Network for Water-Related Optics Image Enhancement
- Transformer-based No-Reference Image Quality Assessment via Supervised Contrastive Learning
- Dynamically configured physics-informed neural network in topology optimization applications
- Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection
- AI-based Wildfire Prevention, Detection and Suppression System
- MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving
- CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification
- SM70: A Large Language Model for Medical Devices
- Anytime Approximate Formal Feature Attribution
- PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches
- Online Saddle Point Problem and Online Convex-Concave Optimization
- IA2U: A Transfer Plugin with Multi-Prior for In-Air Model to Underwater
- Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights
- READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
- MaTe3D: Mask-guided Text-based 3D-aware Portrait Editing
- WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction
- Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI
- Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition
- Can a Transformer Represent a Kalman Filter?
- Toward Real Text Manipulation Detection: New Dataset and New Solution
- Predictive variational autoencoder for learning robust representations of time-series data
- Content-Localization based Neural Machine Translation for Informal Dialectal Arabic: Spanish/French to Levantine/Gulf Arabic
- Facial Emotion Recognition in VR Games
- Pain Analysis using Adaptive Hierarchical Spatiotemporal Dynamic Imaging
- Exploring Novel Object Recognition and Spontaneous Location Recognition Machine Learning Analysis Techniques in Alzheimer's Mice
- Reducing Energy Bloat in Large Model Training
- Unsupervised Extractive Summarization with Learnable Length Control Strategies
- When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks