Papers
Tue 1 Nov 2022
179 papers
- Avoid Overthinking in Self-Supervised Models for Speech RecognitionLLM reasoning → Audio-language model reasoning
- Optimal Conservative Offline RL with General Function Approximation via Augmented LagrangianOffline RL and imitation learning from data → Offline RL algorithms
- On the detection of synthetic images generated by diffusion modelsDiffusion models → Image generation, text-to-image and editing
- MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic ModelDiffusion models → Medical imaging and segmentation
- Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 smallMechanistic interpretability → Circuits and mechanistic analysis
- Dungeons and Data: A Large-Scale NetHack DatasetOffline RL and imitation learning from data → Imitation learning methods
- DOLPH: Diffusion Models for Phase RetrievalDiffusion models → Inverse problems and image restoration
- Efficient Graph Neural Network Inference at Large ScaleEfficient LLM inference and serving → Early exit and edge inference
- Amplifying Membership Exposure via Data PoisoningLLM safety and security → Backdoor and data poisoning attacks
- DensePure: Understanding Diffusion Models towards Adversarial RobustnessDiffusion models → Robustness, privacy and adversarial aspects
- SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model GeneralizationKnowledge distillation → General knowledge distillation methods
- Training Vision-Language Models with Less Bimodal SupervisionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- ARDIR: Improving Robustness using Knowledge Distillation of Internal RepresentationKnowledge distillation → Federated, robust and private distillation
- Accelerated Motion Correction with Deep Generative Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Envisioning a Human-AI collaborative system to transform policies into decision models
- Reinforcement Learning Applied to Trading Systems: A Survey
- Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems
- Data-Driven Disease Progression Modelling
- Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights
- Generating Clear Images From Images With Distortions Caused by Adverse Weather Using Generative Adversarial Networks
- A Meta-GNN approach to personalized seizure detection and classification
- PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction
- Towards Alzheimer's Disease Progression Assessment: A Review of Machine Learning Methods
- Manipulation of individual judgments in the quantitative pairwise comparisons method
- Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI
- Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits
- Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages
- A Bayesian Learning, Greedy agglomerative clustering approach and evaluation techniques for Author Name Disambiguation Problem
- A Categorical Framework for Modeling with Stock and Flow Diagrams
- Evaluating Impact of Social Media Posts by Executives on Stock Prices
- User-Entity Differential Privacy in Learning Natural Language Models
- Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
- Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems
- Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers
- Predicting air quality via multimodal AI and satellite imagery
- Reinforcement Learning in Education: A Multi-Armed Bandit Approach
- Monte Carlo Tree Descent for Black-Box Optimization
- Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality
- Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement Learning
- Automatic Quantitative Analysis of Brain Organoids via Deep Learning
- ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification
- Maximum Likelihood Distillation for Robust Modulation Classification
- 3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds
- Self-supervised Physics-based Denoising for Computed Tomography
- Forecasting Patient Flows with Pandemic Induced Concept Drift using Explainable Machine Learning
- TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments
- On the Interaction Between Differential Privacy and Gradient Compression in Deep Learning
- State-of-the-art Models for Object Detection in Various Fields of Application
- Comparision Of Adversarial And Non-Adversarial LSTM Music Generative Models
- A Bayesian Framework on Asymmetric Mixture of Factor Analyser
- Quantum Natural Language Generation on Near-Term Devices
- LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping
- Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation
- VIINTER: View Interpolation with Implicit Neural Representations of Images
- SleepyWheels: An Ensemble Model for Drowsiness Detection leading to Accident Prevention
- MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
- Semantic Pivoting Model for Effective Event Detection
- Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model
- Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks
- Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions
- TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags
- Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation
- Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
- Towards Inter-character Relationship-driven Story Generation
- Learning Melanocytic Cell Masks from Adjacent Stained Tissue
- Physically-based dimensionless features for pluvial flood mapping with machine learning
- Two-stage LLM Fine-tuning with Less Specialization and More Generalization
- Composite Feature Selection using Deep Ensembles
- Machine learning can guide experimental approaches for protein digestibility estimations
- Convergence of policy gradient methods for finite-horizon exploratory linear-quadratic control problems
- Natural Language Deduction with Incomplete Information
- On Medians of (Randomized) Pairwise Means
- A unified method of data assimilation and turbulence modeling for separated flows at high Reynolds numbers
- T5lephone: Bridging Speech and Text Self-supervised Models for Spoken Language Understanding via Phoneme level T5
- Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers
- ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US
- Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution
- Event Tables for Efficient Experience Replay
- Text-Only Training for Image Captioning using Noise-Injected CLIP
- Position-Aware Subgraph Neural Networks with Data-Efficient Learning
- Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions
- Revisiting Heterophily in Graph Convolution Networks by Learning Representations Across Topological and Feature Spaces
- Leveraging commonsense for object localisation in partial scenes
- Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling
- GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs
- No-audio speaking status detection in crowded settings via visual pose-based filtering and wearable acceleration
- Geo-Information Harvesting from Social Media Data
- On the Semi-supervised Expectation Maximization
- Deep Learning for Global Wildfire Forecasting
- Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks
- Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model
- Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound
- Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation
- The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
- Learning utterance-level representations through token-level acoustic latents prediction for Expressive Speech Synthesis
- TrimTail: Low-Latency Streaming ASR with Simple but Effective Spectrogram-Level Length Penalty
- Learning Neural Implicit Representations with Surface Signal Parameterizations
- Infinite-Dimensional Adaptive Boundary Observer for Inner-Domain Temperature Estimation of 3D Electrosurgical Processes using Surface Thermography Sensing
- E2E Refined Dataset
- Self-Supervised Intensity-Event Stereo Matching
All 179
- Modelling black-box audio effects with time-varying feature modulation
- Multi-Resource Allocation for On-Device Distributed Federated Learning Systems
- Understanding the Unforeseen via the Intentional Stance
- Backtracking Counterfactuals
- Exploring Effects of Computational Parameter Changes to Image Recognition Systems
- Recognition of Defective Mineral Wool Using Pruned ResNet Models
- Augmentation Invariant Manifold Learning
- CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion
- Evaluation of a blockchain-enabled resource management mechanism for NGNs
- PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics
- Birth-death dynamics for sampling: Global convergence, approximations and their asymptotics
- Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition
- A new filter for dimensionality reduction and classification of hyperspectral images using GLCM features and mutual information
- A device-interaction model for users with special needs
- Zero Day Threat Detection Using Metric Learning Autoencoders
- VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding
- Order-sensitive Neural Constituency Parsing
- Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance
- Using coevolution and substitution of the fittest for health and well-being recommender systems
- Oracle-guided Contrastive Clustering
- Galaxy classification: a deep learning approach for classifying Sloan Digital Sky Survey images
- Wavelet Neural Networks versus Wavelet-based Neural Networks
- Expansion of Visual Hints for Improved Generalization in Stereo Matching
- Optimization of Oblivious Decision Tree Ensembles Evaluation for CPU
- Behavioral Intention Prediction in Driving Scenes: A Survey
- The future is different: Large pre-trained language models fail in prediction tasks
- Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing
- An Empirical Study on Data Leakage and Generalizability of Link Prediction Models for Issues and Commits
- combined digital drone camera and optical channel parameters for air surveillance
- Automated Imbalanced Learning
- Generating Multilingual Gender-Ambiguous Text-to-Speech Voices
- What drives a goalkeepers' decisions?
- Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
- A General Search-based Framework for Generating Textual Counterfactual Explanations
- Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics
- Generalized Quadratic Embeddings for Nonlinear Dynamics using Deep Learning
- Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector
- Informed Priors for Knowledge Integration in Trajectory Prediction
- Investigating Content-Aware Neural Text-To-Speech MOS Prediction Using Prosodic and Linguistic Features
- Recurrent Neural Networks and Universal Approximation of Bayesian Filters
- Rating Triggers for Collateral-Inclusive XVA via Machine Learning and SDEs on Lie Groups
- Speech-text based multi-modal training with bidirectional attention for improved speech recognition
- Improving Variational Autoencoders with Density Gap-based Regularization
- RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images
- HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar
- Entity Matching by Pool-based Active Learning
- Combined space-time reduced-order model with 3D deep convolution for extrapolating fluid dynamics
- Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
- Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA)
- Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges
- CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation
- FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness
- Self-supervised Character-to-Character Distillation for Text Recognition
- Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors
- HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection
- Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks
- Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks
- CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation
- Differentiable Model Selection for Ensemble Learning
- FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation
- Robust Direct Learning for Causal Data Fusion
- Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
- Batch Active Learning from the Perspective of Sparse Approximation
- Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection
- Adversarial Policies Beat Superhuman Go AIs
- Angular upsampling in diffusion MRI using contextual HemiHex sub-sampling in q-space
- Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper
- Clustering-Based Approaches for Symbolic Knowledge Extraction
- Detection of (Hidden) Emotions from Videos using Muscles Movements and Face Manifold Embedding
- Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features
- Transfer Learning with Kernel Methods
- SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates
- Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms
- Pixel-Wise Contrastive Distillation
- Distributed Graph Neural Network Training: A Survey
- Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows
- GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection
- CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies
- Frequency Cam: Imaging Periodic Signals in Real-Time