Papers
Thu 16 Mar 2023
236 papers
- How well do Large Language Models perform in Arithmetic tasks?LLM reasoning → Mathematical reasoning
- MultiModal Bias: Introducing a Framework for Stereotypical Bias Assessment beyond Gender and Race in Vision Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- SUD2: Supervision by Denoising Diffusion Models for Image ReconstructionDiffusion models → Inverse problems and image restoration
- Neural Architecture Search for Effective Teacher-Student Knowledge Transfer in Language ModelsKnowledge distillation → Knowledge distillation for LLMs
- Denoising Diffusion Post-Processing for Low-Light Image EnhancementDiffusion models → Inverse problems and image restoration
- HIVE: Harnessing Human Feedback for Instructional Visual EditingLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- DS-Fusion: Artistic Typography via Discriminated and Stylized DiffusionDiffusion models → Image generation, text-to-image and editing
- Efficient Diffusion Training via Min-SNR Weighting StrategyDiffusion models → Diffusion foundations and sampling
- FateZero: Fusing Attentions for Zero-shot Text-based Video EditingDiffusion models → Video generation
- InCrowdFormer: On-Ground Pedestrian World Model From Egocentric ViewsWorld models → Embodied and robot world models
- LDMVFI: Video Frame Interpolation with Latent Diffusion ModelsDiffusion models → Video generation
- Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher ModelsKnowledge distillation → Distillation for medical imaging
- DiffIR: Efficient Diffusion Model for Image RestorationDiffusion models → Inverse problems and image restoration
- Logical Implications for Visual Question Answering ConsistencyLLM reasoning → Multimodal reasoning
- DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human AvatarsDiffusion models → 3D, point cloud and scene generation
- Goal-conditioned Offline Reinforcement Learning through State Space PartitioningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image GenerationDiffusion models → Image generation, text-to-image and editing
- DIRE for Diffusion-Generated Image DetectionDiffusion models → Image generation, text-to-image and editing
- DistillW2V2: A Small and Streaming Wav2vec 2.0 Based ASR ModelKnowledge distillation → Speech and audio distillation
- SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral PerspectiveMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT InferenceEfficient LLM inference and serving → Early exit and edge inference
- GridCLIP: One-Stage Object Detection by Grid-Level CLIP Representation LearningMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image RetrievalKnowledge distillation → General knowledge distillation methods
- Global Knowledge Calibration for Fast Open-Vocabulary SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Taming Diffusion Models for Audio-Driven Co-Speech Gesture GenerationDiffusion models → Audio, speech and music
- Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised LearningLLM safety and security → Backdoor and data poisoning attacks
- ART: Automatic multi-step reasoning and tool-use for large language modelsLLM reasoning → Reasoning for agents, planning and code +1
- Using Scalable Computer Vision to Automate High-throughput Semiconductor Characterization
- Automatic Geo-alignment of Artwork in Children's Story Books
- Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness
- Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+
- Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games
- Towards the Scalable Evaluation of Cooperativeness in Language Models
- Revealing Weaknesses of Vietnamese Language Models Through Unanswerable Questions in Machine Reading Comprehension
- Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities
- Mobiprox: Supporting Dynamic Approximate Computing on Mobiles
- From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning
- Visual Information Matters for ASR Error Correction
- Vision Transformer for Action Units Detection
- DSDP: A Blind Docking Strategy Accelerated by GPUs
- Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less
- Short: Basal-Adjust: Trend Prediction Alerts and Adjusted Basal Rates for Hyperglycemia Prevention
- Probabilistic unifying relations for modelling epistemic and aleatoric uncertainty: semantics and automated reasoning with theorem proving
- Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal Transformer
- Segmentation of Retinal Blood Vessels Using Deep Learning
- Instance-Conditioned GAN Data Augmentation for Representation Learning
- DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection
- Predicting discrete-time bifurcations with deep learning
- Rt-Track: Robust Tricks for Multi-Pedestrian Tracking
- LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding
- Tribe or Not? Critical Inspection of Group Differences Using TribalGram
- Efficient Computation Sharing for Multi-Task Visual Scene Understanding
- Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection
- Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning
- ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis
- Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
- Shifted-Windows Transformers for the Detection of Cerebral Aneurysms in Microsurgery
- Full-Body Cardiovascular Sensing with Remote Photoplethysmography
- Causal Temporal Graph Convolutional Neural Networks (CTGCN)
- Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions
- Online Reinforcement Learning in Periodic MDP
- Efficient Learning of High Level Plans from Play
- Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt
- Decentralized Riemannian natural gradient methods with Kronecker-product approximations
- VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection
- Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics
- cito: An R package for training neural networks using torch
- Residual Physics Learning and System Identification for Sim-to-real Transfer of Policies on Buoyancy Assisted Legged Robots
- Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction
- TypeT5: Seq2seq Type Inference using Static Analysis
- SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments
- PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision
- LERF: Language Embedded Radiance Fields
- Dataflow graphs as complete causal graphs
- SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving
- WebSHAP: Towards Explaining Any Machine Learning Models Anywhere
- Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging Domains
- SemDeDup: Data-efficient learning at web-scale through semantic deduplication
- Deep Metric Learning for Unsupervised Remote Sensing Change Detection
- Variational Principles for Mirror Descent and Mirror Langevin Dynamics
- GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data
- Tackling Clutter in Radar Data -- Label Generation and Detection Using PointNet++
- Reinforcement Learning for Omega-Regular Specifications on Continuous-Time MDP
- Fairness-aware Differentially Private Collaborative Filtering
- Fast 3D Volumetric Image Reconstruction from 2D MRI Slices by Parallel Processing
- P+: Extended Textual Conditioning in Text-to-Image Generation
- PyVBMC: Efficient Bayesian inference in Python
- MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation
- Gate Recurrent Unit Network based on Hilbert-Schmidt Independence Criterion for State-of-Health Estimation
- Among Us: Adversarially Robust Collaborative Perception by Consensus
- Challenges and Opportunities in Quantum Machine Learning
- Effectively Modeling Time Series with Simple Discrete State Spaces
- A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data
- Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning
- Arbitrary Order Meta-Learning with Simple Population-Based Evolution
- Gradient flow on extensive-rank positive semi-definite matrix denoising
- Learning with Noisy Labels through Learnable Weighting and Centroid Similarity
- On the Existence of a Complexity in Fixed Budget Bandit Identification
All 236
- Proof Number Based Monte-Carlo Tree Search
- Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning
- Enhanced detection of the presence and severity of COVID-19 from CT scans using lung segmentation
- Trustera: A Live Conversation Redaction System
- Jump to Conclusions: Short-Cutting Transformers With Linear Transformations
- NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes
- Data Roaming and Quality Assessment for Composed Image Retrieval
- SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification
- All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction
- Symbolic Perception Risk in Autonomous Driving
- NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters
- Narrator: Towards Natural Control of Human-Scene Interaction Generation via Relationship Reasoning
- Distributionally Robust Optimization using Cost-Aware Ambiguity Sets
- On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits
- LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations
- Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
- Multi-modal Differentiable Unsupervised Feature Selection
- Protecting Society from AI Misuse: When are Restrictions on Capabilities Warranted?
- MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
- Learning Physical-Spatio-Temporal Features for Video Shadow Removal
- The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints
- Tollywood Emotions: Annotation of Valence-Arousal in Telugu Song Lyrics
- The NCI Imaging Data Commons as a platform for reproducible research in computational pathology
- Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings
- Unsupervised domain adaptation by learning using privileged information
- CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition
- Real-time elastic partial shape matching using a neural network-based adjoint method
- Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via Deep Convolutional Neural Network based Artifact Reduction
- ShabbyPages: A Reproducible Document Denoising and Binarization Dataset
- Image Enhancement for Remote Photoplethysmography in a Low-Light Environment
- ExoplANNET: A deep learning algorithm to detect and identify planetary signals in radial velocity data
- Depth-Aware Image Compositing Model for Parallax Camera Motion Blur
- Model Based Explanations of Concept Drift
- Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses?
- Taking advantage of a very simple property to efficiently infer NFAs
- GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagery
- Depth Super-Resolution from Explicit and Implicit High-Frequency Features
- BanglaCoNER: Towards Robust Bangla Complex Named Entity Recognition
- Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals
- A transformer-based approach to video frame-level prediction in Affective Behaviour Analysis In-the-wild
- Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations
- Adaptive Modeling of Uncertainties for Traffic Forecasting
- Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
- ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets
- StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model
- Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold
- A Survey of Deep Visual Cross-Domain Few-Shot Learning
- Cross-Dimensional Refined Learning for Real-Time 3D Visual Perception from Monocular Video
- Cross-head Supervision for Crowd Counting with Noisy Annotations
- Human Reaction Intensity Estimation with Ensemble of Multi-task Networks
- NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
- SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation
- Generative Adversarial Network for Personalized Art Therapy in Melanoma Disease Management
- Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction
- MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency
- Controlled Descent Training
- GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision
- A Dual Branch Network for Emotional Reaction Intensity Estimation
- Learning optimal policies from event logs through reinforcement learning: a comparison of deep and MDP-based approaches
- Reduction of rain-induced errors for wind speed estimation on SAR observations using convolutional neural networks
- A Generative Model for Digital Camera Noise Synthesis
- Integrating Temporality and Causality into Acyclic Argumentation Frameworks using a Transition System
- Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
- PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers
- Block-wise Bit-Compression of Transformer-based Models
- Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation
- Learning Logic Specifications for Soft Policy Guidance in POMCP
- Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations
- NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style Transfer
- Emotional Reaction Intensity Estimation Based on Multimodal Data
- Identifiability Results for Multimodal Contrastive Learning
- A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation
- Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers
- EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition
- Facial Affect Recognition based on Transformer Encoder and Audiovisual Fusion for the ABAW5 Challenge
- Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation
- Reliable Image Dehazing by NeRF
- Learning a Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation
- Facial Affective Behavior Analysis Method for 5th ABAW Competition
- A Short Survey of Viewing Large Language Models in Legal Aspect
- Predicting nonlinear reshaping of periodic signals in optical fibre with a neural network
- Exploring Distributional Shifts in Large Language Models for Code Analysis
- Evaluation of distance-based approaches for forensic comparison: Application to hand odor evidence
- Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes
- Cross-Modal Causal Intervention for Medical Report Generation
- Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification
- AU-aware graph convolutional network for Macro- and Micro-expression spotting
- SigVIC: Spatial Importance Guided Variable-Rate Image Compression
- Rethinking Model Ensemble in Transfer-based Adversarial Attacks
- Machine learning based biomedical image processing for echocardiographic images
- Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank
- IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment
- SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments
- GLEN: General-Purpose Event Detection for Thousands of Types
- Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective
- MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks
- Preoperative Prognosis Assessment of Lumbar Spinal Surgery for Low Back Pain and Sciatica Patients based on Multimodalities and Multimodal Learning
- Enhancing Text Generation with Cooperative Training
- Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement
- Vortex Feature Positioning: Bridging Tabular IIoT Data and Image-Based Deep Learning
- Secret-Keeping in Question Answering
- High-Dimensional Penalized Bernstein Support Vector Machines
- Maximum margin learning of t-SPNs for cell classification with filtered input
- Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildings
- Plant Disease Detection using Region-Based Convolutional Neural Network
- Knowledge Transfer for Pseudo-code Generation from Low Resource Programming Language
- MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection
- SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning
- Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations
- TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization
- FindView: Precise Target View Localization Task for Look Around Agents
- Robust Evaluation of Diffusion-Based Adversarial Purification
- Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms
- Self-Supervised Visual Representation Learning on Food Images
- Web and Mobile Platforms for Managing Elections based on IoT And Machine Learning Algorithms
- CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
- Embedding Theory of Reservoir Computing and Reducing Reservoir Network Using Time Delays
- A Multimodal Data-driven Framework for Anxiety Screening
- Hybrid Spectral Denoising Transformer with Guided Attention
- Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential
- Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation
- Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image Classification
- Unsupervised Facial Expression Representation Learning with Contrastive Local Warping
- Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling
- Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning
- A Picture is Worth a Thousand Words: Language Models Plan from Pixels
- Large Selective Kernel Network for Remote Sensing Object Detection
- Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning
- Towards Commonsense Knowledge based Fuzzy Systems for Supporting Size-Related Fine-Grained Object Detection
- Self-Inspection Method of Unmanned Aerial Vehicles in Power Plants Using Deep Q-Network Reinforcement Learning
- Exploring the Power of Generative Deep Learning for Image-to-Image Translation and MRI Reconstruction: A Cross-Domain Review
- Machine Learning for Flow Cytometry Data Analysis
- Conditional Synthetic Food Image Generation
- A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU
- Unified Visual Relationship Detection with Vision and Language Models
- Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems