Papers
Tue 7 Feb 2023
186 papers
- Effective Data Augmentation With Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Information-Theoretic DiffusionDiffusion models → Diffusion foundations and sampling
- How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk ControlDiffusion models → Diffusion foundations and sampling
- GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusionDiffusion models → Flow matching, time series and science
- Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy ConcentrabilityOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Concept Algebra for (Score-Based) Text-Controlled Generative ModelsDiffusion models → Image generation, text-to-image and editing
- Temporal Robustness against Data PoisoningLLM safety and security → Backdoor and data poisoning attacks
- Flow Matching on General GeometriesDiffusion models → Flow matching, time series and science
- NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy LearningLLM agents and tool use → Multimodal and embodied agents
- To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning MethodsLLM safety and security → Machine unlearning
- Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable DiffusionDiffusion models → Image generation, text-to-image and editing
- Membership Inference Attacks against Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Scaling Vision-based End-to-End Driving with Multi-View Attention LearningEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Dataset for predicting cybersickness from a virtual navigation task
- Formalising and Learning a Quantum Model of Concepts
- Visual Watermark Removal Based on Deep Learning
- Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
- Eigen-informed NeuralODEs: Dealing with stability and convergence issues of NeuralODEs
- Tetris-inspired detector with neural network for radiation mapping
- Applying BERT and ChatGPT for Sentiment Analysis of Lyme Disease in Scientific Literature
- Real-Word Error Correction with Trigrams: Correcting Multiple Errors in a Sentence
- ZipLM: Inference-Aware Structured Pruning of Language Models
- FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion
- Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
- Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking
- MACOptions: Multi-Agent Learning with Centralized Controller and Options Framework
- Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
- Layered State Discovery for Incremental Autonomous Exploration
- Toward a Theory of Causation for Interpreting Neural Code Models
- Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates for a Diffusion Equation
- Leveraging User-Triggered Supervision in Contextual Bandits
- Reliable Natural Language Understanding with Large Language Models and Answer Set Programming
- Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
- AI and Core Electoral Processes: Mapping the Horizons
- What Matters In The Structured Pruning of Generative Language Models?
- Catch Me If You Can: Improving Adversaries in Cyber-Security With Q-Learning Algorithms
- Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis
- Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions
- Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
- Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective
- Linking convolutional kernel size to generalization bias in face analysis CNNs
- 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
- MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural Network for Discrimination and Localization of Atrial Fibrillation
- KENGIC: KEyword-driven and N-Gram Graph based Image Captioning
- Persuading a Behavioral Agent: Approximately Best Responding and Learning
- Mining Effective Features Using Quantum Entropy for Humor Recognition
- Characterizing Financial Market Coverage using Artificial Intelligence
- Long Horizon Temperature Scaling
- Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications
- Approximate message passing from random initialization with applications to mathbbZ2 synchronization
- How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
- Auditing Gender Presentation Differences in Text-to-Image Models
- Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation
- Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
- HumanMAC: Masked Motion Completion for Human Motion Prediction
- SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics
- Federated Learning with Regularized Client Participation
- Planted Bipartite Graph Detection
- Toward Face Biometric De-identification using Adversarial Examples
- Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
- A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection
- Class-Incremental Learning: A Survey
- Exploitation and exploration in text evolution. Quantifying planning and translation flows during writing
- SSR-2D: Semantic 3D Scene Reconstruction from 2D Images
- Identification of Power System Oscillation Modes using Blind Source Separation based on Copula Statistic
- Ethical Considerations for Responsible Data Curation
- An Expert System to Diagnose Spinal Disorders
- Recent advances in the Self-Referencing Embedding Strings (SELFIES) library
- Can gamification reduce the burden of self-reporting in mHealth applications? A feasibility study using machine learning from smartwatch data to estimate cognitive load
- Pole Estimation and Optical Navigation using Circle of Latitude Projections
- Online Reinforcement Learning with Uncertain Episode Lengths
- Graph Generation with Diffusion Mixture
- NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM
- CALaMo: a Constructionist Assessment of Language Models
- Adaptive Aggregation for Safety-Critical Control
- Multi-Scale Message Passing Neural PDE Solvers
- Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation
- Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation
- A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation
- From Utilitarian to Rawlsian Designs for Algorithmic Fairness
- Look Around and Learn: Self-Training Object Detection by Exploration
- Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective
- Learning to cooperatively estimate road surface friction
- Simulating the impact of cognitive biases on the mobility transition
- Exponential convergence rates for momentum stochastic gradient descent in the overparametrized setting
- PhysFormer++: Facial Video-based Physiological Measurement with SlowFast Temporal Difference Transformer
- Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy
- Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation
- On the Limitation and Experience Replay for GNNs in Continual Learning
- Revisiting Pre-training in Audio-Visual Learning
- Structured Generative Models for Scene Understanding
- Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages
- Efficient Parametric Approximations of Neural Network Function Space Distance
- A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends
- Cluster-Level Contrastive Learning for Emotion Recognition in Conversations
- OPORP: One Permutation + One Random Projection
- Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors
- Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models
- Natural Language Processing for Policymaking
- A Bayesian Optimization approach for calibrating large-scale activity-based transport models
All 186
- Explainable Action Prediction through Self-Supervision on Scene Graphs
- VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray
- Entity-Aware Dual Co-Attention Network for Fake News Detection
- Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata
- On the Theories Behind Hard Negative Sampling for Recommendation
- Robustness Implies Fairness in Causal Algorithmic Recourse
- Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
- Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
- On the relationship between multivariate splines and infinitely-wide neural networks
- OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer
- Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plants
- Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
- Uncoupled Learning of Differential Stackelberg Equilibria with Commitments
- SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation
- Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
- A unified recipe for deriving (time-uniform) PAC-Bayes bounds
- Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
- High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets
- AniPixel: Towards Animatable Pixel-Aligned Human Avatar
- Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection
- Learning Discretized Neural Networks under Ricci Flow
- Act for Your Duties but Maintain Your Rights
- Phase Transitions in the Detection of Correlated Databases
- Data augmentation for machine learning of chemical process flowsheets
- Transfer learning for process design with reinforcement learning
- Population-size-Aware Policy Optimization for Mean-Field Games
- Machine Learning Benchmarks for the Classification of Equivalent Circuit Models from Electrochemical Impedance Spectra
- A conceptual model for leaving the data-centric approach in machine learning
- Deep-OSG: Deep Learning of Operators in Semigroup
- Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
- AMFPMC -- An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions
- What do Language Models know about word senses? Zero-Shot WSD with Language Models and Domain Inventories
- Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy
- An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping
- The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study
- Learning Manner of Execution from Partial Corrections
- Towards a User Privacy-Aware Mobile Gaming App Installation Prediction Model
- Multi-Task Recommendations with Reinforcement Learning
- Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence
- Leveraging Demonstrations to Improve Online Learning: Quality Matters
- PAMI: partition input and aggregate outputs for model interpretation
- Federated Variational Inference Methods for Structured Latent Variable Models
- Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise
- Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series
- 3D Vessel Segmentation with Limited Guidance of 2D Structure-agnostic Vessel Annotations
- AutoWS: Automated Weak Supervision Framework for Text Classification
- Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
- Linear-scaling kernels for protein sequences and small molecules outperform deep learning while providing uncertainty quantitation and improved interpretability
- Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos
- Object-Centric Scene Representations using Active Inference
- Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations
- Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation
- Unsupervised Deep Learning for IoT Time Series
- An End-to-End Two-Phase Deep Learning-Based workflow to Segment Man-made Objects Around Reservoirs
- Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning
- IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning
- PLACES: Prompting Language Models for Social Conversation Synthesis
- Learning to Count Isomorphisms with Graph Neural Networks
- Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
- Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles
- DivBO: Diversity-aware CASH for Ensemble Learning
- CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data
- Quantum Recurrent Neural Networks for Sequential Learning
- Combating Online Misinformation Videos: Characterization, Detection, and Future Directions
- Continual Pre-training of Language Models
- Decentralized Inexact Proximal Gradient Method With Network-Independent Stepsizes for Convex Composite Optimization
- Exact Inference in High-order Structured Prediction
- Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
- Linear Optimal Partial Transport Embedding
- Heterophily-Aware Graph Attention Network
- Automatic Sleep Stage Classification with Cross-modal Self-supervised Features from Deep Brain Signals
- Efficient XAI Techniques: A Taxonomic Survey
- Undersampling and Cumulative Class Re-decision Methods to Improve Detection of Agitation in People with Dementia
- Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support
- Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network
- LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup
- An entity-guided text summarization framework with relational heterogeneous graph neural network
- Exploring the Benefits of Training Expert Language Models over Instruction Tuning
- Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
- UDApter -- Efficient Domain Adaptation Using Adapters
- On the Ideal Number of Groups for Isometric Gradient Propagation
- Emergent Causality and the Foundation of Consciousness
- Capturing Topic Framing via Masked Language Modeling
- Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal
- Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations
- Learning bias corrections for climate models using deep neural operators