Papers
Fri 3 Feb 2023
190 papers
- AdaptDiffuser: Diffusion Models as Adaptive Self-evolving PlannersDiffusion models → Diffusion and flow policies for robotics +1
- TEXTure: Text-Guided Texturing of 3D ShapesDiffusion models → 3D, point cloud and scene generation
- Learning End-to-End Channel Coding with Diffusion ModelsDiffusion models → Diffusion for compression and wireless
- Mind the Gap: Offline Policy Optimization for Imperfect RewardsOffline RL and imitation learning from data → Offline RL algorithms
- Controlling for Stereotypes in Multimodal Language Model EvaluationMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting PerspectiveKnowledge distillation → Knowledge distillation for LLMs
- Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems
- 3D Face Reconstruction for Forensic Recognition -- A Survey
- Style Feature Extraction Using Contrastive Conditioned Variational Autoencoders with Mutual Information Constraints
- Towards a responsible machine learning approach to identify forced labor in fisheries
- Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
- Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
- Causal Confirmation Measures: From Simpson's Paradox to COVID-19
- The Heritage Digital Twin: a bicycle made for two. The integration of digital methodologies into cultural heritage research
- An Optical XNOR-Bitcount Based Accelerator for Efficient Inference of Binary Neural Networks
- The Construction of Reality in an AI: A Review
- Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT
- Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set
- Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?
- Witscript 2: A System for Generating Improvised Jokes Without Wordplay
- LaMPP: Language Models as Probabilistic Priors for Perception and Action
- Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN
- An Asymptotically Optimal Algorithm for the Convex Hull Membership Problem
- Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning
- Learning the Night Sky with Deep Generative Priors
- Towards Few-Shot Identification of Morality Frames using In-Context Learning
- Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks
- TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification
- Improving Interpretability via Explicit Word Interaction Graph Layer
- IoT Botnet Detection Using an Economic Deep Learning Model
- Zero-Shot Robot Manipulation from Passive Human Videos
- Domain Adaptation via Rebalanced Sub-domain Alignment
- Witscript: A System for Generating Improvised Jokes in a Conversation
- On the Analysis of Correlation Between Nominal Data and Numerical Data
- Robust Budget Pacing with a Single Sample
- DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
- Sharp Spectral Rates for Koopman Operator Learning
- Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics
- Offloading Deep Learning Powered Vision Tasks from UAV to 5G Edge Server with Denoising
- Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization
- VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality
- PSST! Prosodic Speech Segmentation with Transformers
- SPARLING: Learning Latent Representations with Extremely Sparse Activations
- Measuring The Impact Of Programming Language Distribution
- How Bad is Top-K Recommendation under Competing Content Creators?
- Efficient Gradient Approximation Method for Constrained Bilevel Optimization
- Asymmetric Certified Robustness via Feature-Convex Neural Networks
- Accelerating exploration of Marine Cloud Brightening impacts on tipping points Using an AI Implementation of Fluctuation-Dissipation Theorem
- Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity
- On a continuous time model of gradient descent dynamics and instability in deep learning
- Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning
- CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior
- Sequential pattern mining in educational data: The application context, potential, strengths, and limitations
- Aligning Robot and Human Representations
- Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
- PyGlove: Efficiently Exchanging ML Ideas as Code
- Sample Complexity of Probability Divergences under Group Symmetry
- Egocentric Video Task Translation @ Ego4D Challenge 2022
- Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits
- Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach
- IKEA-Manual: Seeing Shape Assembly Step by Step
- PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications
- MOSE: A New Dataset for Video Object Segmentation in Complex Scenes
- GLADIS: A General and Large Acronym Disambiguation Benchmark
- Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs
- KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair
- From Robustness to Privacy and Back
- Comparing Psychometric and Behavioral Predictors of Compliance During Human-AI Interactions
- Unsupervised hierarchical clustering using the learning dynamics of RBMs
- Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
- MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders
- A Case Study for Compliance as Code with Graphs and Language Models: Public release of the Regulatory Knowledge Graph
- Investigating Stylistic Profiles for the Task of Empathy Classification in Medical Narrative Essays
- vMAP: Vectorised Object Mapping for Neural Field SLAM
- Coinductive guide to inductive transformer heads
- Online Ad Allocation with Predictions
- HDFormer: High-order Directed Transformer for 3D Human Pose Estimation
- Lexical Simplification using multi level and modular approach
- Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides
- PINN Training using Biobjective Optimization: The Trade-off between Data Loss and Residual Loss
- Mitigating Data Scarcity for Large Language Models
- FR3D: Three-dimensional Flow Reconstruction and Force Estimation for Unsteady Flows Around Extruded Bluff Bodies via Conformal Mapping Aided Convolutional Autoencoders
- Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks
- Interpretations of Domain Adaptations via Layer Variational Analysis
- Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification
- DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition
- Understanding metric-related pitfalls in image analysis validation
- The Agent-based Modelling for Human Behaviour Special Issue
- IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data
- Customer Profiling, Segmentation, and Sales Prediction using AI in Direct Marketing
- Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
- Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches
- SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
- AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge
- Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
- Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
- Distributional constrained reinforcement learning for supply chain optimization
- Reinforcing User Retention in a Billion Scale Short Video Recommender System
- Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks
All 190
- Towards Avoiding the Data Mess: Industry Insights from Data Mesh Implementations
- Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation
- VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning
- Domain Adaptation via Alignment of Operation Profile for Remaining Useful Lifetime Prediction
- Assessment of Spatio-Temporal Predictors in the Presence of Missing and Heterogeneous Data
- LIQUID: A Framework for List Question Answering Dataset Generation
- Better Training of GFlowNets with Local Credit and Incomplete Trajectories
- Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning -- A Residual Physics Approach
- Two-Stage Constrained Actor-Critic for Short Video Recommendation
- Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
- Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction
- CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data
- The Learnable Typewriter: A Generative Approach to Text Analysis
- From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology
- ShadowFormer: Global Context Helps Image Shadow Removal
- Structure-informed Language Models Are Protein Designers
- A statistically constrained internal method for single image super-resolution
- Blockwise Self-Supervised Learning at Scale
- Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification
- Convergence Analysis of Sequential Split Learning on Heterogeneous Data
- Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
- Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
- Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
- A geometrically aware auto-encoder for multi-texture synthesis
- Around the world in 60 words: A generative vocabulary test for online research
- CFFT-GAN: Cross-domain Feature Fusion Transformer for Exemplar-based Image Translation
- Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
- A Feature Selection Method for Driver Stress Detection Using Heart Rate Variability and Breathing Rate
- SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples
- A Novel Fuzzy Bi-Clustering Algorithm with AFS for Identification of Co-Regulated Genes
- Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties
- Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
- Bioformer: an efficient transformer language model for biomedical text mining
- SegForestNet: Spatial-Partitioning-Based Aerial Image Segmentation
- TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture
- Learning to Decouple Complex Systems
- Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field
- Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
- ResMem: Learn what you can and memorize the rest
- An Operational Perspective to Fairness Interventions: Where and How to Intervene
- Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization
- Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
- Witgenstein's influence on artificial intelligence
- Uniform tensor clustering by jointly exploring sample affinities of various orders
- DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a Multi-Tasking System
- Deep Reinforcement Learning for Online Error Detection in Cyber-Physical Systems
- Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling
- Hierarchically Composing Level Generators for the Creation of Complex Structures
- Machine Learning for UAV Propeller Fault Detection based on a Hybrid Data Generation Model
- Bridging the Emotional Semantic Gap via Multimodal Relevance Estimation
- Vertical Federated Learning: Taxonomies, Threats, and Prospects
- Group Fairness in Non-monotone Submodular Maximization
- Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
- Multiplier Bootstrap-based Exploration
- Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence
- Contrastive Learning with Consistent Representations
- DEVICE: Depth and Visual Concepts Aware Transformer for OCR-based Image Captioning
- A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization
- DCEM: A deep complementary energy method for solid mechanics
- Using natural language processing and structured medical data to phenotype patients hospitalized due to COVID-19
- Support Recovery in Sparse PCA with Non-Random Missing Data
- INV: Towards Streaming Incremental Neural Videos
- Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation
- Example-Based Explainable AI and its Application for Remote Sensing Image Classification
- Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
- Multi-channel Autobidding with Budget and ROI Constraints
- Improving Recommendation Relevance by simulating User Interest
- Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation
- LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry
- Pseudonorm Approachability and Applications to Regret Minimization
- Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
- Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes
- Spectral Aware Softmax for Visible-Infrared Person Re-Identification
- Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds
- Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics
- LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
- ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics
- Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks
- Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models
- Efficient Domain Adaptation for Speech Foundation Models
- Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer
- DiSProD: Differentiable Symbolic Propagation of Distributions for Planning
- Perfect is the enemy of test oracle
- Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction
- SPADE: Self-supervised Pretraining for Acoustic DisEntanglement
- Clustered Embedding Learning for Recommender Systems
- A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
- Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
- User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks
- Learning to Optimize for Reinforcement Learning