Papers
Thu 9 Feb 2023
182 papers
- Gaussian Process-Gated Hierarchical Mixtures of ExpertsMixture-of-experts → MoE theory and gating functions
- UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban EnvironmentsEnd-to-end autonomous driving → Adversarial scenarios and safety testing +1
- Explanation Selection Using Unlabeled Data for Chain-of-Thought PromptingLLM reasoning → Prompting and chain-of-thought reasoning
- Equivariant MuZeroWorld models → Latent dynamics models and model-based RL
- CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Toolformer: Language Models Can Teach Themselves to Use ToolsLLM agents and tool use → Tool learning and function calling
- Benchmarks for Automated Commonsense Reasoning: A SurveyLLM reasoning → Reasoning benchmarks and evaluation
- Lightweight Transformers for Clinical Natural Language ProcessingKnowledge distillation → Knowledge distillation for LLMs
- Better Diffusion Models Further Improve Adversarial TrainingDiffusion models → Robustness, privacy and adversarial aspects
- Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial ExamplesDiffusion models → Robustness, privacy and adversarial aspects
- Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge TransferKnowledge distillation → Detection and dense prediction distillation
- Imperceptible Sample-Specific Backdoor to DNN with Denoising AutoencoderLLM safety and security → Backdoor and data poisoning attacks
- ERNIE-Music: Text-to-Waveform Music Generation with Diffusion ModelsDiffusion models → Audio, speech and music
- Geometry of Score Based Generative ModelsDiffusion models → Diffusion foundations and sampling
- Unsupervised clustering of file dialects according to monotonic decompositions of mixtures
- Help the Blind See: Assistance for the Visually Impaired through Augmented Acoustic Simulation
- ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design
- Estimating Driver Personality Traits from On-Road Driving Data
- Learning to Simulate Daily Activities via Modeling Dynamic Human Needs
- IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness
- CQnet: convex-geometric interpretation and constraining neural-network trajectories
- Hybridization of K-means with improved firefly algorithm for automatic clustering in high dimension
- Thermodynamic AI and the fluctuation frontier
- Correcting Real-Word Spelling Errors: A New Hybrid Approach
- Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction
- AutoNMT: A Framework to Streamline the Research of Seq2Seq Models
- Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines
- Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions
- Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
- Differentially Private Optimization for Smooth Nonconvex ERM
- Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
- Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal
- Hypernetworks build Implicit Neural Representations of Sounds
- Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains
- The Monge Gap: A Regularizer to Learn All Transport Maps
- Efficient Propagation of Uncertainty via Reordering Monte Carlo Samples
- Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition
- Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data
- In-Context Learning with Many Demonstration Examples
- Information Theoretic Lower Bounds for Information Theoretic Upper Bounds
- ChemVise: Maximizing Out-of-Distribution Chemical Detection with the Novel Application of Zero-Shot Learning
- Flexible, Model-Agnostic Method for Materials Data Extraction from Text Using General Purpose Language Models
- Binarized Neural Machine Translation
- AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer
- GCI: A (G)raph (C)oncept (I)nterpretation Framework
- In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing
- Offsite-Tuning: Transfer Learning without Full Model
- Reversible Vision Transformers
- MEGANE: Morphable Eyeglass and Avatar Network
- RelightableHands: Efficient Neural Relighting of Articulated Hand Models
- ELBA: Learning by Asking for Embodied Visual Navigation and Task Completion
- Knowledge is a Region in Weight Space for Fine-tuned Language Models
- Polynomial Neural Fields for Subband Decomposition and Manipulation
- Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors
- Projection-free Online Exp-concave Optimization
- One-shot Visual Imitation via Attributed Waypoints and Demonstration Augmentation
- Trading Information between Latents in Hierarchical Variational Autoencoders
- SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks
- Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates
- Robot Synesthesia: A Sound and Emotion Guided AI Painter
- Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
- What are the mechanisms underlying metacognitive learning?
- FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning
- Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting
- Cooperative Open-ended Learning Framework for Zero-shot Coordination
- Modeling and Forecasting COVID-19 Cases using Latent Subpopulations
- Lithium Metal Battery Quality Control via Transformer-CNN Segmentation
- High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model
- The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
- To Perceive or Not to Perceive: Lightweight Stacked Hourglass Network
- A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions
- Machine Learning Systems: A Survey from a Data-Oriented Perspective
- Dimension reduction and redundancy removal through successive Schmidt decompositions
- Drawing Attention to Detail: Pose Alignment through Self-Attention for Fine-Grained Object Classification
- Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions
- Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages
- On the Privacy-Robustness-Utility Trilemma in Distributed Learning
- Analysis of business process automation as linear time-invariant system network
- Adap-τ: Adaptively Modulating Embedding Magnitude for Recommendation
- 3D Human Pose and Shape Estimation via HybrIK-Transformer
- On Sampling with Approximate Transport Maps
- Robust and Scalable Bayesian Online Changepoint Detection
- Efficient displacement convex optimization with particle gradient descent
- A Constant-per-Iteration Likelihood Ratio Test for Online Changepoint Detection for Exponential Family Models
- A Biomedical Knowledge Graph for Biomarker Discovery in Cancer
- A Benchmark on Uncertainty Quantification for Deep Learning Prognostics
- Constrained Empirical Risk Minimization: Theory and Practice
- Domain Generalization by Functional Regression
- Zero-Shot Learning for Requirements Classification: An Exploratory Study
- Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddings
- DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks
- REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines
- Augmenting NLP data to counter Annotation Artifacts for NLI Tasks
- Partial Optimality in Cubic Correlation Clustering
- Scaling Goal-based Exploration via Pruning Proto-goals
- Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates
- Learning Mixtures of Markov Chains with Quality Guarantees
- Mixed-order self-paced curriculum learning for universal lesion detection
All 182
- ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
- The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning
- A Novel Approach for Auto-Formulation of Optimization Problems
- Analysing the SEDs of protoplanetary disks with machine learning
- Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment
- Weakly Supervised Human Skin Segmentation using Guidance Attention Mechanisms
- Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study
- A Text-guided Protein Design Framework
- Outlier-Robust Gromov-Wasserstein for Graph Data
- Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading
- Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search
- Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
- Plan-Based Derivation of General Functional Structures in Product Design
- Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models
- MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection
- New directions in the applications of rough path theory
- Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique
- Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN
- Generating a Structured Summary of Numerous Academic Papers: Dataset and Method
- NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors
- NLP-based Decision Support System for Examination of Eligibility Criteria from Securities Prospectuses at the German Central Bank
- Data Augmentation for Robust Character Detection in Fantasy Novels
- Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
- Weakly Supervised Anomaly Detection: A Survey
- Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering
- GMConv: Modulating Effective Receptive Fields for Convolutional Kernels
- Efficient Attention via Control Variates
- Better by you, better than me, chatgpt3 as writing assistance in students essays
- Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
- Gaze-based intention estimation: principles, methodologies, and applications in HRI
- Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations
- An Epistemic and Aleatoric Decomposition of Arbitrariness to Constrain the Set of Good Models
- IH-ViT: Vision Transformer-based Integrated Circuit Appear-ance Defect Detection
- RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols
- Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures
- A Large-Scale Analysis of Persian Tweets Regarding Covid-19 Vaccination
- Classification of BCI-EEG based on augmented covariance matrix
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
- FLAC: A Robust Failure-Aware Atomic Commit Protocol for Distributed Transactions
- Scale-aware neural calibration for wide swath altimetry observations
- Dual Algorithmic Reasoning
- 3D reconstruction from spherical images: A review of techniques, applications, and prospects
- Tree Learning: Optimal Algorithms and Sample Complexity
- A General Mobile Manipulator Automation Framework for Flexible Manufacturing in Hostile Industrial Environments
- An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint
- Towards Geospatial Foundation Models via Continual Pretraining
- Detecting Contextomized Quotes in News Headlines by Contrastive Learning
- Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models
- Nonlinear Random Matrices and Applications to the Sum of Squares Hierarchy
- Hubbard-Stratonovich Detector for Simple Trainable MIMO Signal Detection
- Bag of Tricks for Training Data Extraction from Language Models
- Global Constraints with Prompting for Zero-Shot Event Argument Classification
- Rehabilitating Homeless: Dataset and Key Insights
- Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning
- An Information-Theoretic Analysis of Nonstationary Bandit Learning
- Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
- Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
- Contour Completion using Deep Structural Priors
- Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
- Enhancing E-Commerce Recommendation using Pre-Trained Language Model and Fine-Tuning
- Multi-task Representation Learning for Pure Exploration in Linear Bandits
- Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
- An information-theoretic learning model based on importance sampling
- rMultiNet: An R Package For Multilayer Networks Analysis
- Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow
- A Comparison of Decision Forest Inference Platforms from A Database Perspective
- Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery
- Gentlest ascent dynamics on manifolds defined by adaptively sampled point-clouds
- A Transformer-based Response Evaluator for Open-Domain Spoken Conversation
- Information Theoretical Importance Sampling Clustering
- An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
- Learning to Select Pivotal Samples for Meta Re-weighting
- Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization
- Simulation-to-reality UAV Fault Diagnosis with Deep Learning
- Neural Architecture Search: Two Constant Shared Weights Initialisations
- Discovering interpretable Lagrangian of dynamical systems from data
- Optimized Hybrid Focal Margin Loss for Crack Segmentation
- The Re-Label Method For Data-Centric Machine Learning
- Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning
- SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements
- Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes
- Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples