Papers
Tue 15 Nov 2022
254 papers
- Teaching Algorithmic Reasoning via In-context LearningLLM reasoning → Mathematical reasoning
- ParticleGrid: Enabling Deep Learning using 3D Representation of MaterialsDiffusion models → Flow matching, time series and science
- Reasoning Circuits: Few-shot Multihop Question Generation with Structured RationalesLLM reasoning → Knowledge- and tool-augmented reasoning
- CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video StreamingDiffusion models → Diffusion for compression and wireless
- Empowering Language Models with Knowledge Graph Reasoning for Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Versatile Diffusion: Text, Images and Variations All in One Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- HMOE: Hypernetwork-based Mixture of Experts for Domain GeneralizationMixture-of-experts → Vision mixture-of-experts
- Offline Reinforcement Learning with Adaptive Behavior RegularizationOffline RL and imitation learning from data → Offline RL algorithms
- CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive LearningLLM safety and security → Backdoor and data poisoning attacks
- An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language UnderstandingKnowledge distillation → Distillation for continual learning
- HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision TransformersEfficient LLM inference and serving → Token pruning and merging for ViTs
- Contextual Transformer for Offline Meta Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Backdoor Attacks on Time Series: A Generative ApproachLLM safety and security → Backdoor and data poisoning attacks
- Explainable Action Advising for Multi-Agent Reinforcement LearningKnowledge distillation → On-policy and self-distillation for LLMs
- Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain Question Answering
- A Hybrid Evolutionary Approach to Solve University Course Allocation Problem
- Object Detection in Aerial Imagery
- DeepParliament: A Legal domain Benchmark & Dataset for Parliament Bills Prediction
- VRDU: A Benchmark for Visually-rich Document Understanding
- Equivariant Networks for Crystal Structures
- Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review
- NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
- Machine Learning enabled models for YouTube Ranking Mechanism and Views Prediction
- Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot
- Efficient shallow learning as an alternative to deep learning
- Physics-informed neural networks for operator equations with stochastic data
- Reinforcement Learning Methods for Wordle: A POMDP/Adaptive Control Approach
- Emergence of a stochastic resonance in machine learning
- Deep Reinforcement Learning for Combined Coverage and Resource Allocation in UAV-aided RAN-slicing
- PromptCap: Prompt-Guided Task-Aware Image Captioning
- Analyse der Entwicklungstreiber milit"arischer Schwarmdrohnen durch Natural Language Processing
- Influencer Detection with Dynamic Graph Neural Networks
- Phenomenological Causality
- Masked Reconstruction Contrastive Learning with Information Bottleneck Principle
- Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
- Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study
- DLKoopman: A deep learning software package for Koopman theory
- Estimating Discontinuous Time-Varying Risk Factors and Treatment Benefits for COVID-19 with Interpretable ML
- Rapid Connectionist Speaker Adaptation
- Region Embedding with Intra and Inter-View Contrastive Learning
- Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
- Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
- Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models: Sharp Minimax Rates
- DCT Perceptron Layer: A Transform Domain Approach for Convolution Layer
- Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space
- Bayesian Fixed-Budget Best-Arm Identification
- Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data
- Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs
- The Association Between SOC and Land Prices Considering Spatial Heterogeneity Based on Finite Mixture Modeling
- Using Auxiliary Information for Person Re-Identification -- A Tutorial Overview
- ConvFormer: Combining CNN and Transformer for Medical Image Segmentation
- Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning
- Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation
- ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training
- MapQA: A Dataset for Question Answering on Choropleth Maps
- Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation
- A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning
- LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection
- A Hierarchical Deep Neural Network for Detecting Lines of Codes with Vulnerabilities
- Phenotype Search Trajectory Networks for Linear Genetic Programming
- Searching for Carriers of the Diffuse Interstellar Bands Across Disciplines, using Natural Language Processing
- N2V2 -- Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture
- Decision-Aware Learning for Optimizing Health Supply Chains
- APT: Adaptive Perceptual quality based camera Tuning using reinforcement learning
- Social Mechanism Design: Making Maximally Acceptable Decisions
- Probabilistic Querying of Continuous-Time Event Sequences
- Who Reviews The Reviewers? A Multi-Level Jury Problem
- Scalar Invariant Networks with Zero Bias
- Context-Matched Collage Generation for Underwater Invertebrate Detection
- On the Compositional Generalization Gap of In-Context Learning
- Deep learning for table detection and structure recognition: A survey
- Structured Exploration Through Instruction Enhancement for Object Navigation
- ED-FAITH: Evaluating Dialogue Summarization on Faithfulness
- Navigating Connected Memories with a Task-oriented Dialog System
- Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models
- ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation
- Latent Bottlenecked Attentive Neural Processes
- Improved techniques for deterministic l2 robustness
- kogito: A Commonsense Knowledge Inference Toolkit
- SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media
- Power-law Scaling to Assist with Key Challenges in Artificial Intelligence
- An Automatic ICD Coding Network Using Partition-Based Label Attention
- Mechanistic Mode Connectivity
- Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression
- Participation Interfaces for Human-Centered AI
- Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
- Model free variable importance for high dimensional data
- Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
- Evaluating the Factual Consistency of Large Language Models Through News Summarization
- Large Language Models Struggle to Learn Long-Tail Knowledge
- REPAIR: REnormalizing Permuted Activations for Interpolation Repair
- Introducing Semantics into Speech Encoders
- Air Pollution Hotspot Detection and Source Feature Analysis using Cross-domain Urban Data
- On the Performance of Direct Loss Minimization for Bayesian Neural Networks
- Photometric identification of compact galaxies, stars and quasars using multiple neural networks
- AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation
- Generative Long-form Question Answering: Relevance, Faithfulness and Succinctness
- CardiacGen: A Hierarchical Deep Generative Model for Cardiac Signals
- Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning
All 254
- Music Instrument Classification Reprogrammed
- Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction
- Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches
- Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods
- A Survey on the Integration of Machine Learning with Sampling-based Motion Planning
- FlowGrad: Using Motion for Visual Sound Source Localization
- User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity
- Classifying text using machine learning models and determining conversation drift
- MEAL: Stable and Active Learning for Few-Shot Prompting
- Motor imagery classification using EEG spectrograms
- Probabilistic Deep Metric Learning for Hyperspectral Image Classification
- On interpretability and proper latent decomposition of autoencoders
- Weighted Sum-Rate Maximization With Causal Inference for Latent Interference Estimation
- FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery
- On Penalization in Stochastic Multi-armed Bandits
- Identification of medical devices using machine learning on distribution feeder data for informing power outage response
- PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning
- Reverberation as Supervision for Speech Separation
- Solving clustering as ill-posed problem: experiments with K-Means algorithm
- An FNet based Auto Encoder for Long Sequence News Story Generation
- Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and Desnowing
- Towards 3D Object Detection with 2D Supervision
- Identifying Spurious Correlations and Correcting them with an Explanation-based Learning
- Homomorphic Self-Supervised Learning
- Towards an objective characterization of an individual's facial movements using Self-Supervised Person-Specific-Models
- A Comparative Study of Machine Learning and Deep Learning Techniques for Prediction of Co2 Emission in Cars
- Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data
- QAmeleon: Multilingual QA with Only 5 Examples
- A mixed-categorical correlation kernel for Gaussian process
- Dynamic Temporal Filtering in Video Models
- SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement
- Explaining Cross-Domain Recognition with Interpretable Deep Classifier
- 3D Cascade RCNN: High Quality Object Detection in Point Clouds
- Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification
- Neural Bayesian Network Understudy
- Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction
- When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications
- Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics
- A Low-Shot Object Counting Network With Iterative Prototype Adaptation
- Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics
- A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III)
- On Inferring User Socioeconomic Status with Mobility Records
- Machine learning for classifying and interpreting coherent X-ray speckle patterns
- Differentially Private Sampling from Distributions
- RobBERT-2022: Updating a Dutch Language Model to Account for Evolving Language Use
- Improved disentangled speech representations using contrastive learning in factorized hierarchical variational autoencoder
- Improved Coresets for Euclidean k-Means
- Grasping the Inconspicuous
- Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions
- Premonition Net, A Multi-Timeline Transformer Network Architecture Towards Strawberry Tabletop Yield Forecasting
- A Comparative Study of Question Answering over Knowledge Bases
- Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information
- Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
- Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes
- CSynGEC: Incorporating Constituent-based Syntax for Grammatical Error Correction with a Tailored GEC-Oriented Parser
- Encoding feature supervised UNet++: Redesigning Supervision for liver and tumor segmentation
- Monocular BEV Perception of Road Scenes via Front-to-Top View Projection
- SSM-Net: feature learning for Music Structure Analysis using a Self-Similarity-Matrix based loss
- Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
- DeepRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification Of The Retinogeniculate Pathway Using dMRI Tractography
- Heatmap-based Out-of-Distribution Detection
- An Efficient Active Learning Pipeline for Legal Text Classification
- Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation
- DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition
- Hierarchical Pronunciation Assessment with Multi-Aspect Attention
- A Universal Discriminator for Zero-Shot Generalization
- Will Large-scale Generative Models Corrupt Future Datasets?
- DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity
- Visually Grounded VQA by Lattice-based Retrieval
- UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge
- Autonomous Golf Putting with Data-Driven and Physics-Based Methods
- EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data
- Predicting Eye Gaze Location on Websites
- GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
- KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
- Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation
- Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
- Multi-Label Quantification
- Multilingual and Multimodal Topic Modelling with Pretrained Embeddings
- PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection
- Forecasting Future Instance Segmentation with Learned Optical Flow and Warping
- Deep scene-scale material estimation from multi-view indoor captures
- Backdoor Attacks for Remote Sensing Data with Wavelet Transform
- The rate of convergence of Bregman proximal methods: Local geometry vs. regularity vs. sharpness
- Provably Reliable Large-Scale Sampling from Gaussian Processes
- State of the Art of Quality Assessment of Facial Images
- Persian Emotion Detection using ParsBERT and Imbalanced Data Handling Approaches
- FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
- NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction
- Universal Time-Uniform Trajectory Approximation for Random Dynamical Systems with Recurrent Neural Networks
- Bayesian Federated Neural Matching that Completes Full Information
- MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack
- Evidence-based Match-status-Aware Gait Recognition for Out-of-Gallery Gait Identification
- Auto-outlier Fusion Technique for Chest X-ray classification with Multi-head Attention Mechanism
- Cross-Reality Re-Rendering: Manipulating between Digital and Physical Realities
- Security Closure of IC Layouts Against Hardware Trojans
- DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans
- Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy
- A Benchmark and Dataset for Post-OCR text correction in Sanskrit
- Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System
- Discourse and conversation impairments in patients with dementia
- Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning
- NeRFFaceEditing: Disentangled Face Editing in Neural Radiance Fields
- Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI
- The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck
- HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction
- IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction
- An Overview on Controllable Text Generation via Variational Auto-Encoders
- Show Me the Instruments: Musical Instrument Retrieval from Mixture Audio
- Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs
- Automatic Evaluation of Excavator Operators using Learned Reward Functions
- An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
- Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics
- Personalized Federated Learning with Multi-branch Architecture
- False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image
- A Unified Mutual Supervision Framework for Referring Expression Segmentation and Generation
- A Dataset and Model for Crossing Indian Roads
- YORO -- Lightweight End to End Visual Grounding
- Selective Memory Recursive Least Squares: Recast Forgetting into Memory in RBF Neural Network Based Real-Time Learning
- MMD-B-Fair: Learning Fair Representations with Statistical Testing
- Hierarchical Phrase-based Sequence-to-Sequence Learning
- Byzantine Spectral Ranking
- Learning-Augmented Model-Based Planning for Visual Exploration
- Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
- Feedback Chain Network For Hippocampus Segmentation
- Pretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks
- A Survey for Efficient Open Domain Question Answering
- Using Human Perception to Regularize Transfer Learning
- ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data
- Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision
- DINER: Disorder-Invariant Implicit Neural Representation
- Machine Learning Methods Applied to Cortico-Cortical Evoked Potentials Aid in Localizing Seizure Onset Zones
- Efficient Estimation for Longitudinal Networks via Adaptive Merging
- Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
- Regularized Stein Variational Gradient Flow
- Enabling AI Quality Control via Feature Hierarchical Edge Inference
- Local Magnification for Data and Feature Augmentation
- Relationship of the language distance to English ability of a country
- Variational Quantum Algorithms for Chemical Simulation and Drug Discovery
- Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels
- Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification
- Characterizing the Spectrum of the NTK via a Power Series Expansion
- Error-Robust Retrieval for Chinese Spelling Check
- Evaluating How Fine-tuning on Bimodal Data Effects Code Generation
- Prompting Language Models for Linguistic Structure
- Adaptation Approaches for Nearest Neighbor Language Models
- Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors
- General Intelligence Requires Rethinking Exploration
- AgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging
- Multi-Player Bandits Robust to Adversarial Collisions
- Quantifying the Impact of Label Noise on Federated Learning
- Extending the Neural Additive Model for Survival Analysis with EHR Data
- Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks
- Agent-State Construction with Auxiliary Inputs