Papers
Mon 27 Jun 2022
183 papers
- Prompting Decision Transformer for Few-Shot Policy GeneralizationOffline RL and imitation learning from data → Decision transformers and sequence modeling
- When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERTRetrieval-augmented generation → RAG for code
- Towards Unifying Perceptual Reasoning and Logical ReasoningLLM reasoning → Multimodal reasoning
- Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document UnderstandingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster SearchKnowledge distillation → General knowledge distillation methods
- Social Network Mining (SNM): A Definition of Relation between the Resources and SNA
- Emergence of Novelty in Evolutionary Algorithms
- Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths
- Multifamily Malware Models
- Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model
- Deep Optical Coding Design in Computational Imaging
- "Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI
- Challenges and Opportunities in Multi-device Speech Processing
- Few-Shot Cross-Lingual TTS Using Transferable Phoneme Embedding
- Extracting Weighted Finite Automata from Recurrent Neural Networks for Natural Languages
- A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter
- Perspective (In)consistency of Paint by Text
- Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models
- On-device Synaptic Memory Consolidation using Fowler-Nordheim Quantum-tunneling
- Entropy-based Characterization of Modeling Constraints
- Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection
- Long Range Language Modeling via Gated State Spaces
- Haul Road Mapping from GPS Traces
- Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning
- Discrete Morse Sandwich: Fast Computation of Persistence Diagrams for Scalar Data -- An Algorithm and A Benchmark
- Geo-Situation for Modeling Causality of Geo-Events in Knowledge Graphs
- Deployment of ML Models using Kubeflow on Different Cloud Providers
- Wav2Vec-Aug: Improved self-supervised training with limited data
- Supervised Learning with General Risk Functionals
- On bounds for norms of reparameterized ReLU artificial neural network parameters: sums of fractional powers of the Lipschitz norm control the network parameter vector
- Feature Refinement to Improve High Resolution Image Inpainting
- Utility Theory for Sequential Decision Making
- Omni-Seg: A Scale-aware Dynamic Network for Renal Pathological Image Segmentation
- Learning Semantics-Aware Locomotion Skills from Human Demonstration
- Toward an ImageNet Library of Functions for Global Optimization Benchmarking
- Nonparametric, Nonasymptotic Confidence Bands with Paley-Wiener Kernels for Band-Limited Functions
- Multi-scale Network with Attentional Multi-resolution Fusion for Point Cloud Semantic Segmentation
- Patch Selection for Melanoma Classification
- Learning Controllable 3D Level Generators
- DeepPERF: A Deep Learning-Based Approach For Improving Software Performance
- Measuring and Clustering Network Attackers using Medium-Interaction Honeypots
- Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit Allocation
- Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis
- Improved Text Classification via Test-Time Augmentation
- Online Resource Allocation under Horizon Uncertainty
- BeamsNet: A data-driven Approach Enhancing Doppler Velocity Log Measurements for Autonomous Underwater Vehicle Navigation
- Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching
- Efficient Deep Learning Using Non-Volatile Memory Technology
- NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors
- Reduced Optimal Power Flow Using Graph Neural Network
- Heterogeneous mixtures of dictionary functions to approximate subspace invariance in Koopman operators
- Exact Spectral Norm Regularization for Neural Networks
- Ranking with multiple types of pairwise comparisons
- Materials Transformers Language Models for Generative Materials Design: a benchmark study
- A View Independent Classification Framework for Yoga Postures
- AutoInit: Automatic Initialization via Jacobian Tuning
- ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning
- ProGen2: Exploring the Boundaries of Protein Language Models
- Improving Clinical Efficiency and Reducing Medical Errors through NLP-enabled diagnosis of Health Conditions from Transcription Reports
- Programmatic Concept Learning for Human Motion Description and Synthesis
- Neural Neural Textures Make Sim2Real Consistent
- Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior
- Robustness Implies Generalization via Data-Dependent Generalization Bounds
- Effective training-time stacking for ensembling of deep neural networks
- Supply-Side Equilibria in Recommender Systems
- Positive-definite parametrization of mixed quantum states with deep neural networks
- Understanding Benign Overfitting in Gradient-Based Meta Learning
- Parametrically Retargetable Decision-Makers Tend To Seek Power
- Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework
- Thermodynamics-inspired Explanations of Artificial Intelligence
- An Atlas for the Pinhole Camera
- Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation Learning
- Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot
- "Double vaccinated, 5G boosted!": Learning Attitudes towards COVID-19 Vaccination from Social Media
- IBISCape: A Simulated Benchmark for multi-modal SLAM Systems Evaluation in Large-scale Dynamic Environments
- Optimizing Video Prediction via Video Frame Interpolation
- Causal Dynamics Learning for Task-Independent State Abstraction
- Distinguishing Learning Rules with Brain Machine Interfaces
- Pen and Paper Exercises in Machine Learning
- EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System
- ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration
- Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines
- Simplifying Semantic Annotations of SMCalFlow
- Benchopt: Reproducible, efficient and collaborative optimization benchmarks
- DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy
- Is the Language Familiarity Effect gradual? A computational modelling approach
- RES: A Robust Framework for Guiding Visual Explanation
- Explicitly incorporating spatial information to recurrent networks for agriculture
- Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers
- Avocodo: Generative Adversarial Network for Artifact-free Vocoder
- Transfer Learning via Test-Time Neural Networks Aggregation
- Mushroom image recognition and distance generation based on attention-mechanism model and genetic information
- TextDCT: Arbitrary-Shaped Text Detection via Discrete Cosine Transform Mask
- Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning
- Stability Verification of Neural Network Controllers using Mixed-Integer Programming
- Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection
- Effective Online Exam Proctoring by Combining Lightweight Face Detection and Deep Recognition
- A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System
All 183
- Benign overfitting and adaptive nonparametric regression
- Distributional Gaussian Processes Layers for Out-of-Distribution Detection
- Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing
- Prior-Guided One-shot Neural Architecture Search
- A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger design
- Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos
- Automatic identification of segmentation errors for radiotherapy using geometric learning
- Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning
- Insights Into Deep Non-linear Filters for Improved Multi-channel Speech Enhancement
- Supernova Light Curves Approximation based on Neural Network Models
- PARTICUL: Part Identification with Confidence measure using Unsupervised Learning
- Consistency-preserving Visual Question Answering in Medical Imaging
- Diffusion Deformable Model for 4D Temporal Medical Image Generation
- LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation
- Theoretical analysis of Adam using hyperparameters close to one without Lipschitz smoothness
- Analyzing Encoded Concepts in Transformer Language Models
- Discovering Salient Neurons in Deep NLP Models
- Sum-of-Squares Relaxations for Information Theory and Variational Inference
- Which one is more toxic? Findings from Jigsaw Rate Severity of Toxic Comments
- Monocular Depth Decomposition of Semi-Transparent Volume Renderings
- Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data
- Wideband Audio Waveform Evaluation Networks: Efficient, Accurate Estimation of Speech Qualities
- Wasserstein Distributionally Robust Estimation in High Dimensions: Performance Analysis and Optimal Hyperparameter Tuning
- Learning with Weak Annotations for Robust Maritime Obstacle Detection
- Finite Littlestone Dimension Implies Finite Information Complexity
- Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation
- Sample compression schemes for balls in graphs
- Center-Embedding and Constituency in the Brain and a New Characterization of Context-Free Languages
- Few-Shot Stance Detection via Target-Aware Prompt Distillation
- Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set
- Human-AI Collaboration in Decision-Making: Beyond Learning to Defer
- MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
- Differentially Private Federated Combinatorial Bandits with Constraints
- An Empirical Study of Personalized Federated Learning
- Self-supervised Learning in Remote Sensing: A Review
- Implementing a Chatbot Solution for Learning Management System
- Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction
- Learning to Control Local Search for Combinatorial Optimization
- A Representation Learning Framework for Property Graphs
- Context-Aware Transformers For Spinal Cancer Detection and Radiological Grading
- Measuring and Improving the Use of Graph Information in Graph Neural Networks
- Local Evaluation of Time Series Anomaly Detection Algorithms
- Endowing Language Models with Multimodal Knowledge Graph Representations
- Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification
- Evaluating resampling methods on a real-life highly imbalanced online credit card payments dataset
- Representing motion as a sequence of latent primitives, a flexible approach for human motion modelling
- Compressing Features for Learning with Noisy Labels
- TALCS: An Open-Source Mandarin-English Code-Switching Corpus and a Speech Recognition Baseline
- Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification
- Optimal Private Payoff Manipulation against Commitment in Extensive-form Games
- SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds
- Transfer learning for ensembles: reducing computation time and keeping the diversity
- Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
- Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning
- Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors
- AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction
- A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method
- Modeling Content Creator Incentives on Algorithm-Curated Platforms
- SpeechEQ: Speech Emotion Recognition based on Multi-scale Unified Datasets and Multitask Learning
- Zero Stability Well Predicts Performance of Convolutional Neural Networks
- A Zero-Shot Classification Approach for a Word-Guessing Challenge
- Learning Deep Input-Output Stable Dynamics
- Split Localized Conformal Prediction
- Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift
- RankSEG: A Consistent Ranking-based Framework for Segmentation
- Adversarial Example Detection in Deployed Tree Ensembles
- PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage
- Differentially Private Condorcet Voting
- Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance
- Video2StyleGAN: Encoding Video in Latent Space for Manipulation
- SearchMorph:Multi-scale Correlation Iterative Network for Deformable Registration
- Leveraging Language for Accelerated Learning of Tool Manipulation
- Uncertainty Calibration for Deep Audio Classifiers
- On the Complexity of Adversarial Decision Making
- DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning
- Automated Systems For Diagnosis of Dysgraphia in Children: A Survey and Novel Framework
- A Strategy Optimized Pix2pix Approach for SAR-to-Optical Image Translation Task
- A General Recipe for Likelihood-free Bayesian Optimization
- Monitoring Shortcut Learning using Mutual Information
- Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization
- Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
- Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels
- Efficient Private SCO for Heavy-Tailed Data via Averaged Clipping