Papers
Fri 18 Mar 2022
167 papers
- A Closer Look at Knowledge Distillation with Features, Logits, and GradientsKnowledge distillation → General knowledge distillation methods
- SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Goal-conditioned dual-action imitation learning for dexterous dual-arm robot manipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Improving Urban Mobility: using artificial intelligence and new technologies to connect supply and demand
- Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback
- Contribution of Different Handwriting Modalities to Differential Diagnosis of Parkinson's Disease
- Performance of Deep Learning models with transfer learning for multiple-step-ahead forecasts in monthly time series
- Prediction of chaotic attractors in quasiperiodically forced logistic map using deep learning
- SOLIS: Autonomous Solubility Screening using Deep Neural Networks
- Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach
- AI based Log Analyser: A Practical Approach
- Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images
- Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification
- Fair Federated Learning via Bounded Group Loss
- A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models
- Negative Inner-Loop Learning Rates Learn Universal Features
- RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression
- Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning
- Evaluation of Orientation Ambiguity and Detection Rate in April Tag and WhyCode
- Importance Sampling Placement in Off-Policy Temporal-Difference Methods
- Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models
- Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike
- Privacy-Preserving Reinforcement Learning Beyond Expectation
- Discovering Objects that Can Move
- ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers
- Improving Heuristic-based Process Discovery Methods by Detecting Optimal Dependency Graphs
- Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
- Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning
- AI system for fetal ultrasound in low-resource settings
- Learning Compressed Embeddings for On-Device Inference
- Probing Factually Grounded Content Transfer with Factual Ablation
- Half-Inverse Gradients for Physical Deep Learning
- Approximate Function Evaluation via Multi-Armed Bandits
- Event Coreference Resolution for Contentious Politics Events
- On the role of Lip Articulation in Visual Speech Perception
- SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints
- AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation
- Selection of entropy based features for the analysis of the Archimedes' spiral applied to essential tremor
- Deep reinforcement learning guided graph neural networks for brain network analysis
- But that's not why: Inference adjustment by interactive prototype revision
- I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise
- Simulating Bandit Learning from User Feedback for Extractive Question Answering
- Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors
- Lunar Rover Localization Using Craters as Landmarks
- Imaging-based histological features are predictive of MET alterations in Non-Small Cell Lung Cancer
- RELIC: Retrieving Evidence for Literary Claims
- Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty
- Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference
- Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection
- On the Generalization Mystery in Deep Learning
- SHREC 2021: Classification in cryo-electron tomograms
- Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration
- Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection
- Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
- Offensive Language Detection in Under-resourced Algerian Dialectal Arabic Language
- Challenges and Strategies in Cross-Cultural NLP
- ESS: Learning Event-based Semantic Segmentation from Still Images
- Parametric Scaling of Preprocessing assisted U-net Architecture for Improvised Retinal Vessel Segmentation
- Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges
- CaMEL: Case Marker Extraction without Labels
- Analyzing EEG Data with Machine and Deep Learning: A Benchmark
- Ultra-low Latency Spiking Neural Networks with Spatio-Temporal Compression and Synaptic Convolutional Block
- Application of Top-hat Transformation for Enhanced Blood Vessel Extraction
- FORCE: A Framework of Rule-Based Conversational Recommender System
- Elastica Models for Color Image Regularization
- Graph-Text Multi-Modal Pre-training for Medical Representation Learning
- Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images
- GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process Regression
- CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding
- Image Storage on Synthetic DNA Using Autoencoders
- WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
- BIOS: An Algorithmically Generated Biomedical Knowledge Graph
- SynthStrip: Skull-Stripping for Any Brain Image
- Towards Lithuanian grammatical error correction
- Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning
- Enhancement of Novel View Synthesis Using Omnidirectional Image Completion
- Prompt-based Generative Approach towards Multi-Hierarchical Medical Dialogue State Tracking
- Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
- Fake News Detection Using Majority Voting Technique
- Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on Synthetic Images
- Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space
- Convolutional Simultaneous Sparse Approximation with Applications to RGB-NIR Image Fusion
- Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems
- Fourier Document Restoration for Robust Document Dewarping and Recognition
- Identifying Transients in the Dark Energy Survey using Convolutional Neural Networks
- Learning Affordance Grounding from Exocentric Images
- Do Multilingual Language Models Capture Differing Moral Norms?
- A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation
- SCoT: Sense Clustering over Time: a tool for the analysis of lexical change
- Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-means, and Heat Kernel
- CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance
- Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation
- Class-wise Classifier Design Capable of Continual Learning using Adaptive Resonance Theory-based Topological Clustering
- Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation
- Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching
- Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification
- Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion
- Decision-Making under Miscalibration
- Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition
- Gender classification by means of online uppercase handwriting: A text-dependent allographic approach
All 167
- Location-Free Camouflage Generation Network
- Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation
- DTA: Physical Camouflage Attacks using Differentiable Transformation Network
- Laneformer: Object-aware Row-Column Transformers for Lane Detection
- Representative Subset Selection for Efficient Fine-Tuning in Self-Supervised Speech Recognition
- AdaVocoder: Adaptive Vocoder for Custom Voice
- Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?
- Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators
- Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis
- Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation
- Dencentralized learning in the presence of low-rank noise
- Proximal Policy Optimization with Adaptive Threshold for Symmetric Relative Density Ratio
- Learning Consistency from High-quality Pseudo-labels for Weakly Supervised Object Localization
- Three things everyone should know about Vision Transformers
- AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks
- Towards Robust 2D Convolution for Reliable Visual Recognition
- Constitutive model characterization and discovery using physics-informed deep learning
- The price of unfairness in linear bandits with biased feedback
- ISDE : Independence Structure Density Estimation
- Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
- Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated Images
- ContrastMask: Contrastive Learning to Segment Every Thing
- Local-Global Context Aware Transformer for Language-Guided Video Segmentation
- Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentation
- Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition
- Prototypical Verbalizer for Prompt-based Few-shot Tuning
- Speaker Embedding-aware Neural Diarization: an Efficient Framework for Overlapping Speech Diarization in Meeting Scenarios
- AutoAdversary: A Pixel Pruning Method for Sparse Adversarial Attack
- Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower Bounds
- Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
- Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
- Soft Smoothness for Audio Inpainting Using a Latent Matrix Model in Delay-embedded Space
- Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation
- GRS: Combining Generation and Revision in Unsupervised Sentence Simplification
- Do Deep Networks Transfer Invariances Across Classes?
- Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation
- Series Photo Selection via Multi-view Graph Learning
- PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
- Distortion-Tolerant Monocular Depth Estimation On Omnidirectional Images Using Dual-cubemap
- A Dual Weighting Label Assignment Scheme for Object Detection
- REALY: Rethinking the Evaluation of 3D Face Reconstruction
- DEFORM: A Practical, Universal Deep Beamforming System
- Rethinking the optimization process for self-supervised model-driven MRI reconstruction
- Deterministic Bridge Regression for Compressive Classification
- Towards an AI-Driven Universal Anti-Jamming Solution with Convolutional Interference Cancellation Network
- DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations
- Learning Stabilizable Deep Dynamics Models
- Improve few-shot voice cloning using multi-modal learning
- M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code Summarization
- VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention
- Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey
- Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
- Group Contextualization for Video Recognition
- Generative Principal Component Analysis
- Facial Geometric Detail Recovery via Implicit Representation
- A3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
- LeHDC: Learning-Based Hyperdimensional Computing Classifier
- Modeling Intensification for Sign Language Generation: A Computational Approach
- Self-Ensemble Adversarial Training for Improved Robustness
- Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement
- A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory
- Hate speech, Censorship, and Freedom of Speech: The Changing Policies of Reddit
- Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
- Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing
- Analysing the Performance of Stress Detection Models on Consumer-Grade Wearable Devices
- Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis
- An Improved Subject-Independent Stress Detection Model Applied to Consumer-grade Wearable Devices