Papers
Mon 13 Jun 2022
187 papers
- Provably Efficient Offline Reinforcement Learning with Trajectory-Wise RewardOffline RL and imitation learning from data → Offline RL algorithms
- Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Realistic Gramophone Noise Synthesis using a Diffusion ModelDiffusion models → Audio, speech and music
- Convergence for score-based generative modeling with polynomial complexityDiffusion models → Diffusion foundations and sampling
- Transductive CLIP with Class-Conditional Contrastive LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Latent Diffusion Energy-Based Model for Interpretable Text ModelingDiffusion models → Discrete and text diffusion
- Hybrid Ensemble for Fake News Detection: An attempt
- Automated Coronary Calcium Scoring using U-Net Models through Semi-supervised Learning on Non-Gated CT Scans
- Perceptual Quality Assessment of Virtual Reality Videos in the Wild
- From a few Accurate 2D Correspondences to 3D Point Clouds
- ReViSe: Remote Vital Signs Measurement Using Smartphone Camera
- Machine Learning-Driven Process of Alumina Ceramics Laser Machining
- Flexible Raman Amplifier Optimization Based on Machine Learning-aided Physical Stimulated Raman Scattering Model
- Recommender Transformers with Behavior Pathways
- LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
- Memory-Based Model Editing at Scale
- Estimating Pose from Pressure Data for Smart Beds with Deep Image-based Pose Estimators
- FibeRed: Fiberwise Dimensionality Reduction of Topologically Complex Data with Vector Bundles
- Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning
- Spiking Neural Networks for Frame-based and Event-based Single Object Localization
- Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
- Fast Computation of Highly G-optimal Exact Designs via Particle Swarm Optimization
- Towards Alternative Techniques for Improving Adversarial Robustness: Analysis of Adversarial Training at a Spectrum of Perturbations
- Learning Task-Independent Game State Representations from Unlabeled Images
- BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents
- Multimodal Learning with Transformers: A Survey
- The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
- Mapping fNIRS to fMRI with Neural Data Augmentation and Machine Learning Models
- What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience
- On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice
- RigNeRF: Fully Controllable Neural 3D Portraits
- Robust Distillation for Worst-class Performance
- Explainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery
- A Dilemma for Solomonoff Prediction
- Invariant Structure Learning for Better Generalization and Causal Explainability
- Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification
- Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates
- Self-Supervised Representation Learning With MUlti-Segmental Informational Coding (MUSIC)
- MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning
- Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN
- Fitting Segmentation Networks on Varying Image Resolutions using Splatting
- A method for comparing multiple imputation techniques: a case study on the U.S. National COVID Cohort Collaborative
- An Abstract View on Optimizations in Propositional Frameworks
- ICP Algorithm: Theory, Practice And Its SLAM-oriented Taxonomy
- SmartGD: A GAN-Based Graph Drawing Framework for Diverse Aesthetic Goals
- A Training Method For VideoPose3D With Ideology of Action Recognition
- A Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truth
- Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence
- Hate Speech and Counter Speech Detection: Conversational Context Does Matter
- Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
- GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation
- A Relative Church-Turing-Deutsch Thesis from Special Relativity and Undecidability
- Image-based Treatment Effect Heterogeneity
- Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa
- Compositional Mixture Representations for Vision and Text
- An Exploration of Post-Editing Effectiveness in Text Summarization
- Acceleration of cerebral blood flow and arterial transit time maps estimation from multiple post-labeling delay arterial spin-labeled MRI via deep learning
- Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
- ARF: Artistic Radiance Fields
- EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
- Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process
- Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets
- Differentiable and Transportable Structure Learning
- Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens
- Sparse-group boosting -- Unbiased group and variable selection
- Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network
- SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data
- Language Models are General-Purpose Interfaces
- Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring
- JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding
- Knowledge Graph Construction and Its Application in Automatic Radiology Report Generation from Radiologist's Dictation
- Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
- Introducing Proof Tree Automata and Proof Tree Graphs
- Learning Domain Adaptive Object Detection with Probabilistic Teacher
- MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing
- Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection
- Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks
- Cumulative culture spontaneously emerges in artificial navigators who are social and memory-guided
- A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital Readmission
- On the reusability of samples in active learning
- Learning Joint Surface Atlases
- Near-Optimal Sample Complexity Bounds for Constrained MDPs
- MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients
- Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network
- Featurized Query R-CNN
- Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
- On the impact of dataset size and class imbalance in evaluating machine-learning-based windows malware detection techniques
- RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans
- Transformer Lesion Tracker
- A Methodology and Software Architecture to Support Explainability-by-Design
- Contrastive Learning for Unsupervised Domain Adaptation of Time Series
- Indian Legal Text Summarization: A Text Normalisation-based Approach
- Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization
- Evaluating Graph Generative Models with Contrastively Learned Features
- Towards Understanding Sharpness-Aware Minimization
- Transition-based Abstract Meaning Representation Parsing with Contextual Embeddings
- Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
- Real-World Light Field Image Super-Resolution via Degradation Modulation
- Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms
- Automated Evaluation of Standardized Dementia Screening Tests
All 187
- Constraint Guided Gradient Descent: Guided Training with Inequality Constraints
- Automatic generation of a large dictionary with concreteness/abstractness ratings based on a small human dictionary
- Predicting conditional probability distributions of redshifts of Active Galactic Nuclei using Hierarchical Correlation Reconstruction
- Toward Zero Oracle Word Error Rate on the Switchboard Benchmark
- AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes
- Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
- Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
- 2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach
- The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques
- A DSEL for High Throughput and Low Latency Software-Defined Radio on Multicore CPUs
- Absolute Expressiveness of Subgraph-based Centrality Measures
- SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments
- Robust Time Series Denoising with Learnable Wavelet Packet Transform
- Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
- Brain tumour segmentation with incomplete imaging data
- Satellite-based high-resolution maps of cocoa planted area for Cote d'Ivoire and Ghana
- Markov Decision Processes under Model Uncertainty
- Learning Feature Disentanglement and Dynamic Fusion for Recaptured Image Forensic
- AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields
- Towards Autonomous Grading In The Real World
- Rank Diminishing in Deep Neural Networks
- Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens
- Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
- Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs
- Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory Prediction
- Low-complexity deep learning frameworks for acoustic scene classification
- Specifying and Testing k-Safety Properties for Machine-Learning Models
- Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference
- Automatic Contact Tracing using Bluetooth Low Energy Signals and IMU Sensor Readings
- A universal synthetic dataset for machine learning on spectroscopic data
- Mediators: Conversational Agents Explaining NLP Model Behavior
- Virtual embeddings and self-consistency for self-supervised learning
- Machine Learning Training on a Real Processing-in-Memory System
- No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation
- Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
- Reinforcement Learning-based Placement of Charging Stations in Urban Road Networks
- Relative Policy-Transition Optimization for Fast Policy Transfer
- Intrinsically motivated option learning: a comparative study of recent methods
- A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals
- GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access
- Analysis of function approximation and stability of general DNNs in directed acyclic graphs using un-rectifying analysis
- Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs
- High-Dimensional Bayesian Optimization with Constraints: Application to Powder Weighing
- Modeling the Machine Learning Multiverse
- Learning Fashion Compatibility from In-the-wild Images
- Efficient Human-in-the-loop System for Guiding DNNs Attention
- Top Two Algorithms Revisited
- Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
- On the Learning of Non-Autoregressive Transformers
- Deep Neural Network Based Accelerated Failure Time Models using Rank Loss
- A Sahlqvist-style Correspondence Theorem for Linear-time Temporal Logic
- EmProx: Neural Network Performance Estimation For Neural Architecture Search
- Biologically Inspired Neural Path Finding
- Hypernetwork-Based Adaptive Image Restoration
- GoToNet: Fast Monocular Scene Exposure and Exploration
- ATDN vSLAM: An all-through Deep Learning-Based Solution for Visual Simultaneous Localization and Mapping
- PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection
- SIXO: Smoothing Inference with Twisted Objectives
- Lazy and Fast Greedy MAP Inference for Determinantal Point Process
- Private Synthetic Data with Hierarchical Structure
- Towards Universal Sequence Representation Learning for Recommender Systems
- Fluorescence angiography classification in colorectal surgery -- A preliminary report
- Faster Optimization-Based Meta-Learning Adaptation Phase
- Compressive Clustering with an Optical Processing Unit
- LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud
- From Perception to Programs: Regularize, Overparameterize, and Amortize
- Why Quantization Improves Generalization: NTK of Binary Weight Neural Networks
- INDIGO: Intrinsic Multimodality for Domain Generalization
- Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading
- Local Distance Preserving Auto-encoders using Continuous k-Nearest Neighbours Graphs
- Theoretical guarantees for the advantage of GNNs over NNs in generalizing bandlimited functions on Euclidean cubes
- Geometrically Guided Integrated Gradients
- Provable Benefit of Multitask Representation Learning in Reinforcement Learning
- Pixel to Binary Embedding Towards Robustness for CNNs
- textttGradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
- Improve Ranking Correlation of Super-net through Training Scheme from One-shot NAS to Few-shot NAS
- Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach
- Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
- Anchor Sampling for Federated Learning with Partial Client Participation
- Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach
- Confident Sinkhorn Allocation for Pseudo-Labeling
- Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques
- Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition
- On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
- TC-SfM: Robust Track-Community-Based Structure-from-Motion
- X-Risk Analysis for AI Research
- IGN : Implicit Generative Networks