Papers
Wed 1 Mar 2023
200 papers
- Almanac: Retrieval-Augmented Language Models for Clinical MedicineRetrieval-augmented generation → Medical and biomedical RAG
- Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied AgentsLLM agents and tool use → Multimodal and embodied agents
- Understanding Diffusion Objectives as the ELBO with Simple Data AugmentationDiffusion models → Diffusion foundations and sampling
- Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion modelsDiffusion models → Flow matching, time series and science
- Continuous-Time Functional Diffusion ProcessesDiffusion models → Diffusion foundations and sampling
- StraIT: Non-autoregressive Generation with Stratified Image TransformerDiffusion models → Image generation, text-to-image and editing
- MEGA-DAgger: Imitation Learning with Multiple Imperfect ExpertsOffline RL and imitation learning from data → Imitation learning methods
- Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- LS-IQ: Implicit Reward Regularization for Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Towards domain generalisation in ASR with elitist sampling and ensemble knowledge distillationKnowledge distillation → Speech and audio distillation
- RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-trainingRetrieval-augmented generation → Medical and biomedical RAG
- Automated Task-Time Interventions to Improve Teamwork using Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Unlimited-Size Diffusion RestorationDiffusion models → Inverse problems and image restoration
- How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding TasksLLM reasoning → Reasoning benchmarks and evaluation
- Collage DiffusionDiffusion models → Image generation, text-to-image and editing
- Diffusion Probabilistic FieldsDiffusion models → Diffusion foundations and sampling
- CoProver: A Recommender System for Proof Construction
- Authorship attribution for Differences between Literary Texts by Bilingual Russian-French and Non-Bilingual French Authors
- Underwater Camouflage Object Detection Dataset
- Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
- ToxVis: Enabling Interpretability of Implicit vs. Explicit Toxicity Detection Models with Interactive Visualization
- PN-OWL: A Two Stage Algorithm to Learn Fuzzy Concept Inclusions from OWL Ontologies
- Non-invasive Waveform Analysis for Emergency Triage via Simulated Hemorrhage: An Experimental Study using Novel Dynamic Lower Body Negative Pressure Model
- Understanding Natural Language Understanding Systems. A Critical Analysis
- Heuristics for Vehicle Routing Problem: A Survey and Recent Advances
- On Kenn's Rule of Combination Applied to Breast Cancer Precision Therapy
- Hybrid Approach for Solving Real-World Bin Packing Problem Instances Using Quantum Annealers
- A Lifted Bregman Formulation for the Inversion of Deep Neural Networks
- Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
- Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications
- Subset-Based Instance Optimality in Private Estimation
- ParrotTTS: Text-to-Speech synthesis by exploiting self-supervised representations
- Domain-adapted large language models for classifying nuclear medicine reports
- Implementing engrams from a machine learning perspective: matching for prediction
- Can ChatGPT Assess Human Personalities? A General Evaluation Framework
- Poster: Sponge ML Model Attacks of Mobile Apps
- The Point to Which Soft Actor-Critic Converges
- Learning Person-specific Network Representation for Apparent Personality Traits Recognition
- Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process
- Domain-aware Triplet loss in Domain Generalization
- Synthetic Data: Methods, Use Cases, and Risks
- Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails
- A prototype hybrid prediction market for estimating replicability of published work
- AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images
- FuNVol: A Multi-Asset Implied Volatility Market Simulator using Functional Principal Components and Neural SDEs
- Automated control and optimisation of laser driven ion acceleration
- Planning for Attacker Entrapment in Adversarial Settings
- Learning high-dimensional causal effect
- Improving Model's Focus Improves Performance of Deep Learning-Based Synthetic Face Detectors
- Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis
- UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
- Synthetic Cross-accent Data Augmentation for Automatic Speech Recognition
- Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
- Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation
- Multi-task neural networks by learned contextual inputs
- Building High-accuracy Multilingual ASR with Gated Language Experts and Curriculum Training
- Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
- Cloud K-SVD for Image Denoising
- S-NeRF: Neural Radiance Fields for Street Views
- Efficient and Explicit Modelling of Image Hierarchies for Image Restoration
- READ Avatars: Realistic Emotion-controllable Audio Driven Avatars
- A Deep Learning Perspective on Network Routing
- SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks
- R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
- On the universality of Sn-equivariant k-body gates
- OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment
- A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation
- Bootstrapping Parallel Anchors for Relative Representations
- Cross-Modal Entity Matching for Visually Rich Documents
- Aligning benchmark datasets for table structure recognition
- A Complementarity-Based Switch-Fuse System for Improved Visual Place Recognition
- Predicting the wall-shear stress and wall pressure through convolutional neural networks
- Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
- The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
- PE-GAN: Prior Embedding GAN for PXD images at Belle II
- On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches
- Rethinking Efficient Tuning Methods from a Unified Perspective
- Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness
- Forward-PECVaR Algorithm: Exact Evaluation for CVaR SSPs
- How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy
- Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
- An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
- That's All Folks: a KG of Values as Commonsense Social Norms and Behaviors
- MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation
- Multi-Armed Bandits with Generalized Temporally-Partitioned Rewards
- Prediction of SLAM ATE Using an Ensemble Learning Regression Model and 1-D Global Pooling of Data Characterization
- Diffusing Graph Attention
- Has the Virtualization of the Face Changed Facial Perception? A Study of the Impact of Photo Editing and Augmented Reality on Facial Perception
- Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
- Multimodal Industrial Anomaly Detection via Hybrid Fusion
- A Universal Question-Answering Platform for Knowledge Graphs
- Composite Optimization Algorithms for Sigmoid Networks
- FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling
- Are More Layers Beneficial to Graph Transformers?
- IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction
- Dimension-reduced KRnet maps for high-dimensional Bayesian inverse problems
- Mean-Square Analysis of Discretized Ito Diffusions for Heavy-tailed Sampling
- Structured Pruning for Deep Convolutional Neural Networks: A survey
- AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks
- Learning curves for deep structured Gaussian feature models
All 200
- ROCO: A Roundabout Traffic Conflict Dataset
- D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers
- Extending DNN-based Multiplicative Masking to Deep Subband Filtering for Improved Dereverberation
- Quality-aware Pre-trained Models for Blind Image Quality Assessment
- On the Audio-visual Synchronization for Lip-to-Speech Synthesis
- OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System
- Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals
- Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices
- Pose Impact Estimation on Face Recognition using 3D-Aware Synthetic Data with Application to Quality Assessment
- Sampling with Barriers: Faster Mixing via Lewis Weights
- ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in Orchards
- Generalized Cumulative Shrinkage Process Priors with Applications to Sparse Bayesian Factor Analysis
- ASP: Learn a Universal Neural Solver!
- Uzbek text's correspondence with the educational potential of pupils: a case study of the School corpus
- Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
- Uzbek text summarization based on TF-IDF
- N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space
- A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning
- Federated Learning based Hierarchical 3D Indoor Localization
- Exploring Epipolar Consistency Conditions for Rigid Motion Compensation in In-vivo X-ray Microscopy
- The style transformer with common knowledge optimization for image-text retrieval
- Succinct Representations for Concepts
- Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
- Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
- A Framework for Neurosymbolic Robot Action Planning using Large Language Models
- OliVaR: Improving Olive Variety Recognition using Deep Neural Networks
- Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms
- RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series
- A Persian Benchmark for Joint Intent Detection and Slot Filling
- Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
- Can representation learning for multimodal image registration be improved by supervision of intermediate layers?
- A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations
- D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
- Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning
- Few-shots Portrait Generation with Style Enhancement and Identity Preservation
- Indescribable Multi-modal Spatial Evaluator
- Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving
- A Deep Reinforcement Learning Trader without Offline Training
- Progressive Scale-aware Network for Remote sensing Image Change Captioning
- Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical data
- Inline Citation Classification using Peripheral Context and Time-evolving Augmentation
- A Practical Upper Bound for the Worst-Case Attribution Deviations
- TAU: A Framework for Video-Based Traffic Analytics Leveraging Artificial Intelligence and Unmanned Aerial Systems
- Online Streaming Video Super-Resolution with Convolutional Look-Up Table
- Competence-Based Analysis of Language Models
- Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
- TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
- RIFT2: Speeding-up RIFT with A New Rotation-Invariance Technique
- Bayesian outcome-guided multi-view mixture models with applications in molecular precision medicine
- Efficient Explorative Key-term Selection Strategies for Conversational Contextual Bandits
- Deep Learning Methods for Small Molecule Drug Discovery: A Survey
- Modeling Multiple User Interests using Hierarchical Knowledge for Conversational Recommender System
- Event Fusion Photometric Stereo Network
- Renderable Neural Radiance Map for Visual Navigation
- Mitigating Backdoors in Federated Learning with FLD
- Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems
- BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction
- Capturing the motion of every joint: 3D human pose and shape estimation with independent tokens
- Region Prediction for Efficient Robot Localization on Large Maps
- StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training
- Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction
- To Make Yourself Invisible with Adversarial Semantic Contours
- FedScore: A privacy-preserving framework for federated scoring system development
- Label Attention Network for Temporal Sets Prediction: You Were Looking at a Wrong Self-Attention
- Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment
- Speeding Up EfficientNet: Selecting Update Blocks of Convolutional Neural Networks using Genetic Algorithm in Transfer Learning
- Hidden Markov Transformer for Simultaneous Machine Translation
- Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
- ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution
- SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective
- GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation
- DIFFQG: Generating Questions to Summarize Factual Changes
- P2SDF for Neural Indoor Scene Reconstruction
- Single-Cell Multimodal Prediction via Transformers
- Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation
- Two Views of Constrained Differential Privacy: Belief Revision and Update
- Single Image Backdoor Inversion via Robust Smoothed Classifiers
- A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT
- RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training
- Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors
- DMSA: Dynamic Multi-scale Unsupervised Semantic Segmentation Based on Adaptive Affinity
- Convolutional Visual Prompt for Robust Visual Perception
- Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
- CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression Recognition
- Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
- pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
- On the Integration of Physics-Based Machine Learning with Hierarchical Bayesian Modeling Techniques
- Targeted demand response for flexible energy communities using clustering techniques
- Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching
- MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation
- A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data
- Finite-sample Guarantees for Nash Q-learning with Linear Function Approximation
- Zyxin is all you need: machine learning adherent cell mechanics
- A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging
- DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction
- Asymmetric Learning for Graph Neural Network based Link Prediction
- Sketch2Cloth: Sketch-based 3D Garment Generation with Unsigned Distance Fields
- Semi-supervised Parametric Real-world Image Harmonization
- Neural inverse procedural modeling of knitting yarns from images
- Containing a spread through sequential learning: to exploit or to explore?