Papers
Thu 10 Nov 2022
161 papers
- Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model ControlLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Watching the News: Towards VideoQA Models that can ReadLLM reasoning → Multimodal reasoning
- PAD-Net: An Efficient Framework for Dynamic NetworksMixture-of-experts → Vision mixture-of-experts
- On the Privacy Risks of Algorithmic RecourseLLM safety and security → Membership inference attacks
- Can Transformers Reason in Fragments of Natural Language?LLM reasoning → Reasoning benchmarks and evaluation
- EvEntS ReaLM: Event Reasoning of Entity States via Language ModelsLLM reasoning → Causal reasoning in LLMs
- MSDT: Masked Language Model Scoring Defense in Text DomainLLM safety and security → Backdoor and data poisoning attacks
- Holder Recommendations using Graph Representation Learning & Link Prediction
- WEKA-Based: Key Features and Classifier for French of Five Countries
- Machine Learning Assisted Inverse Design of Microresonators
- A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case
- Metaheuristic Approach to Solve Portfolio Selection Problem
- Fuzziness, Indeterminacy and Soft Sets: Frontiers and Perspectives
- Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training
- Contrastive Learning for Climate Model Bias Correction and Super-Resolution
- Multiresolution Dual-Polynomial Decomposition Approach for Optimized Characterization of Motor Intent in Myoelectric Control Systems
- New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning
- Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification
- MGTCOM: Community Detection in Multimodal Graphs
- Can one hear the position of nodes?
- Secure Aggregation Is Not All You Need: Mitigating Privacy Attacks with Noise Tolerance in Federated Learning
- OneFormer: One Transformer to Rule Universal Image Segmentation
- When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors
- Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense
- CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing
- Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples
- Open-Set Automatic Target Recognition
- Steps towards prompt-based creation of virtual worlds
- On the Ramifications of Human Label Uncertainty
- A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding
- MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis
- Robust N-1 secure HV Grid Flexibility Estimation for TSO-DSO coordinated Congestion Management with Deep Reinforcement Learning
- Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses
- Measuring Reliability of Large Language Models through Semantic Consistency
- Climate Policy Tracker: Pipeline for automated analysis of public climate policies
- The CRINGE Loss: Learning what language not to model
- Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
- Impact of Video Compression on the Performance of Object Detection Systems for Surveillance Applications
- Efficient and quantum-adaptive machine learning with fermion neural networks
- Unifying Flow, Stereo and Depth Estimation
- Demystify Transformers & Convolutions in Modern Image Deep Networks
- InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
- Hybrid quantum neural network for drug response prediction
- High-Quality Entity Segmentation
- Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching
- Efficient Image Generation with Variadic Attention Heads
- Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks
- Efficient brain age prediction from 3D MRI volumes using 2D projections
- Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities
- Linear Discriminant Analysis with the Randomized Kaczmarz Method
- FedLesScan: Mitigating Stragglers in Serverless Federated Learning
- The Sample Complexity of Online Contract Design
- NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators
- How Does Sharpness-Aware Minimization Minimize Sharpness?
- Quantum Power Flows: From Theory to Practice
- A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares
- MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
- Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
- AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies
- DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis
- Probabilistic thermal stability prediction through sparsity promoting transformer representation
- Bayesian hierarchical modelling for battery lifetime early prediction
- Robust Model Selection of Gaussian Graphical Models
- Causal Modeling of Soil Processes for Improved Generalization
- BERT in Plutarch's Shadows
- What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
- Warmup and Transfer Knowledge-Based Federated Learning Approach for IoT Continuous Authentication
- On Proper Learnability between Average- and Worst-case Robustness
- DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering
- On power sum kernels on symmetric groups
- Normal reconstruction from specularity in the endoscopic setting
- Regression as Classification: Influence of Task Formulation on Neural Network Features
- Improving the Robustness of Neural Multiplication Units with Reversible Stochasticity
- InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration
- Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey
- Adjustment formulas for learning causal steady-state models from closed-loop operational data
- Power Grid Congestion Management via Topology Optimization with AlphaZero
- BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning
- An Inclusive Notion of Text
- Online Stochastic Variational Gaussian Process Mapping for Large-Scale SLAM in Real Time
- Perfectly predicting ICU length of stay: too good to be true
- Prompt Learning for Domain Adaptation in Task-Oriented Dialogue
- A Practical Introduction to Side-Channel Extraction of Deep Neural Network Parameters
- Hyperbolic Cosine Transformer for LiDAR 3D Object Detection
- Unbiased Supervised Contrastive Learning
- Computer Vision on X-ray Data in Industrial Production and Security Applications: A Comprehensive Survey
- Estimating Soft Labels for Out-of-Domain Intent Detection
- Assistive Completion of Agrammatic Aphasic Sentences: A Transfer Learning Approach using Neurolinguistics-based Synthetic Dataset
- Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization
- Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19
- Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection
- Vis2Mus: Exploring Multimodal Representation Mapping for Controllable Music Generation
- GREENER: Graph Neural Networks for News Media Profiling
- SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition
- MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions
- Impact of Adversarial Training on Robustness and Generalizability of Language Models
- Zero-shot Visual Commonsense Immorality Prediction
- Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems
- Experimental analysis regarding the influence of iris segmentation on the recognition rate
- MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking
All 161
- Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts
- DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation
- Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm
- Reconstruction and analysis of negatively buoyant jets with interpretable machine learning
- ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning
- HSGNet: Object Re-identification with Hierarchical Similarity Graph Network
- Understanding Text Classification Data and Models Using Aggregated Input Salience
- Unsupervised Deep Learning-based clustering for Human Activity Recognition
- Syntax-Guided Domain Adaptation for Aspect-based Sentiment Analysis
- Review of Methods for Handling Class-Imbalanced in Classification Problems
- Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios
- A noise based novel strategy for faster SNN training
- Towards Human-Centred Explainability Benchmarks For Text Classification
- Privacy-Utility Balanced Voice De-Identification Using Adversarial Examples
- A classification performance evaluation measure considering data separability
- Regret Bounds for Noise-Free Cascaded Kernelized Bandits
- DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games
- A metaheuristic multi-objective interaction-aware feature selection method
- Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
- H&E Stain Normalization using U-Net
- ADEPT: A DEbiasing PrompT Framework
- Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity
- Robust Smart Home Face Recognition under Starving Federated Data
- Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer
- Controlling Moments with Kernel Stein Discrepancies
- UIT-HWDB: Using Transferring Method to Construct A Novel Benchmark for Evaluating Unconstrained Handwriting Image Recognition in Vietnamese
- VieCap4H-VLSP 2021: ObjectAoA-Enhancing performance of Object Relation Transformer with Attention on Attention for Vietnamese image captioning
- Enabling Efficient Attack Investigation via Human-in-the-Loop Security Analysis
- Learning Visual Representation of Underwater Acoustic Imagery Using Transformer-Based Style Transfer Method
- GANStrument: Adversarial Instrument Sound Synthesis with Pitch-invariant Instance Conditioning
- A Comprehensive Survey on Distributed Training of Graph Neural Networks
- Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance
- Safety-Constrained Policy Transfer with Successor Features
- Bayesian score calibration for approximate models
- 3D-CSL: self-supervised 3D context similarity learning for Near-Duplicate Video Retrieval
- Biomedical Multi-hop Question Answering Using Knowledge Graph Embeddings and Language Models
- Mitigating Forgetting in Online Continual Learning via Contrasting Semantically Distinct Augmentations
- RARE: Renewable Energy Aware Resource Management in Datacenters
- LERT: A Linguistically-motivated Pre-trained Language Model
- Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling
- Job Scheduling in Datacenters using Constraint Controlled RL
- Spatiotemporal k-means
- Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
- On Optimizing the Communication of Model Parallelism
- Fairness and bias correction in machine learning for depression prediction: results from four study populations
- Few-shot Classification with Hypersphere Modeling of Prototypes
- DiSC: Differential Spectral Clustering of Features
- When is Realizability Sufficient for Off-Policy Reinforcement Learning?
- Enhancing Clinical Support for Breast Cancer with Deep Learning Models using Synthetic Correlated Diffusion Imaging
- Contrastive Self-Supervised Learning for Skeleton Representations
- Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention
- Coordinating CAV Swarms at Intersections with a Deep Learning Model
- Learning Cross-view Geo-localization Embeddings via Dynamic Weighted Decorrelation Regularization
- Harmonizing output imbalance for defect segmentation on extremely-imbalanced photovoltaic module cells images
- Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues
- FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
- PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network Accelerator
- Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials
- BERT-Based Combination of Convolutional and Recurrent Neural Network for Indonesian Sentiment Analysis
- GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts
- Generative Adversarial Networks for Weakly Supervised Generation and Evaluation of Brain Tumor Segmentations on MR Images