Papers
Fri 19 May 2023
277 papers
- OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Self-QA: Unsupervised Knowledge Guided Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic ModelsDiffusion models → 3D, point cloud and scene generation
- Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMsLLM reasoning → Test-time compute and efficient thinking
- The probability flow ODE is provably fastDiffusion models → Diffusion foundations and sampling
- Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense CaptionerMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingLLM reasoning → Test-time compute and efficient thinking
- Separating form and meaning: Using self-consistency to quantify task understanding across multiple sensesLLM reasoning → Reasoning benchmarks and evaluation
- Vision-based DRL Autonomous Driving Agent with Sim2Real TransferEnd-to-end autonomous driving → Reinforcement learning for driving
- Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance FieldsDiffusion models → 3D, point cloud and scene generation
- LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Brain Captioning: Decoding human brain activity into images and textDiffusion models → Medical imaging and segmentation
- ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsLLM agents and tool use → Tool learning and function calling
- Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as PivotsDiffusion models → Image generation, text-to-image and editing
- LaCon: Late-Constraint Diffusion for Steerable Guided Image SynthesisDiffusion models → Image generation, text-to-image and editing
- DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text DiffusionDiffusion models → Discrete and text diffusion
- RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-ThoughtLLM reasoning → Mathematical reasoning
- TreePrompt: Learning to Compose Tree Prompts for Explainable Visual GroundingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and GenerationLLM reasoning → Clinical and biomedical applications
- Incomplete Multi-view Clustering via Diffusion CompletionDiffusion models → Flow matching, time series and science
- CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image SegmentationKnowledge distillation → Detection and dense prediction distillation
- Hint of Pseudo Code (HoPC): Zero-Shot Step by Step Pseudo Code Reasoning PromptingLLM reasoning → Prompting and chain-of-thought reasoning
- Shattering the Agent-Environment Interface for Fine-Tuning Inclusive Language ModelsLLM agents and tool use → Reinforcement learning for LLM agents +1
- Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution AlignmentMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion ModelDiffusion models → Audio, speech and music
- Understanding the World to Solve Social Dilemmas Using Multi-Agent Reinforcement LearningWorld models → World models for language agents
- ChatGPT for Us: Preserving Data Privacy in ChatGPT via Dialogue Text Ambiguation to Expand Mental Health Care Delivery
- Three-way Imbalanced Learning based on Fuzzy Twin SVM
- Memory as a Mass-based Graph: Towards a Conceptual Framework for the Simulation Model of Human Memory in AI
- Deep Neural Networks Generalization and Fine-Tuning for 12-lead ECG Classification
- A Measure-Theoretic Axiomatisation of Causality
- Online Influence Maximization under Decreasing Cascade Model
- An Ensemble Semi-Supervised Adaptive Resonance Theory Model with Explanation Capability for Pattern Classification
- A Survey on the Role of Artificial Intelligence in the Prediction and Diagnosis of Schizophrenia
- Evaluating LeNet Algorithms in Classification Lung Cancer from Iraq-Oncology Teaching Hospital/National Center for Cancer Diseases
- Conditional Online Learning for Keyword Spotting
- A New Benchmark of Aphasia Speech Recognition and Detection Based on E-Branchformer and Multi-task Learning
- Unsupervised ASR via Cross-Lingual Pseudo-Labeling
- Learning for Transductive Threshold Calibration in Open-World Recognition
- SIDAR: Synthetic Image Dataset for Alignment & Restoration
- The Waymo Open Sim Agents Challenge
- Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding
- Learning Continually on a Sequence of Graphs -- The Dynamical System Way
- MultiTurnCleanup: A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup
- Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings
- Biomembrane-based Memcapacitive Reservoir Computing System for Energy Efficient Temporal Data Processing
- BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases
- Inventing art styles with no artistic training data
- Constructing Dreams using Generative AI
- Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data
- Chemellia: An Ecosystem for Atomistic Scientific Machine Learning
- XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters
- Deep Learning Approaches to Lexical Simplification: A Survey
- Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
- EEG and EMG dataset for the detection of errors introduced by an active orthosis device
- ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing
- Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis
- Evaluation of medium-large Language Models at zero-shot closed book generative question answering
- Productive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results
- OL-Transformer: A Fast and Universal Surrogate Simulator for Optical Multilayer Thin Film Structures
- Sequential Memory with Temporal Predictive Coding
- "Sch"one neue Lieferkettenwelt": Workers' Voice und Arbeitsstandards in Zeiten algorithmischer Vorhersage
- AutoCoreset: An Automatic Practical Coreset Construction Framework
- A Weak Supervision Approach for Few-Shot Aspect Based Sentiment
- Unsupervised Change Point Detection for heterogeneous sensor signals
- Logic-Based Benders Decomposition in Answer Set Programming for Chronic Outpatients Scheduling
- An End-to-end Pipeline for 3D Slide-wise Multi-stain Renal Pathology Registration
- Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
- Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method
- Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes
- Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions
- Exploring the Viability of Synthetic Query Generation for Relevance Prediction
- OPTWIN: Drift identification with optimal sub-windows
- XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
- Inductive Simulation of Calorimeter Showers with Normalizing Flows
- PyTorch Hyperparameter Tuning - A Tutorial for spotPython
- Energy-frugal and Interpretable AI Hardware Design using Learning Automata
- Evaluating how interactive visualizations can assist in finding samples where and how computer vision models make mistakes
- MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting
- An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set
- PASTS: Progress-Aware Spatio-Temporal Transformer Speaker For Vision-and-Language Navigation
- Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning
- North S'ami Dialect Identification with Self-supervised Speech Models
- Scaling laws for language encoding models in fMRI
- Reducing Sequence Length by Predicting Edit Operations with Large Language Models
- Complex Claim Verification with Evidence Retrieved in the Wild
- Computing high-dimensional optimal transport by flow neural networks
- Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images
- Multimodal Web Navigation with Instruction-Finetuned Foundation Models
- How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings
- Any-to-Any Generation via Composable Diffusion
- RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing
- AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia
- How Does Generative Retrieval Scale to Millions of Passages?
- SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models
- Comparing Software Developers with ChatGPT: An Empirical Investigation
- Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions
- Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis
- Regularization of Soft Actor-Critic Algorithms with Automatic Temperature Adjustment
All 277
- Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews
- ReTAG: Reasoning Aware Table to Analytic Text Generation
- MaGIC: Multi-modality Guided Image Completion
- Summarizing Strategy Card Game AI Competition
- Monte-Carlo Search for an Equilibrium in Dec-POMDPs
- Pseudo-Label Training and Model Inertia in Neural Machine Translation
- On the Fairness Impacts of Private Ensembles Models
- The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics
- PANNA 2.0: Efficient neural network interatomic potentials and new architectures
- A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images
- Enhancing Few-shot NER with Prompt Ordering based Data Augmentation
- Prompting with Pseudo-Code Instructions
- Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach
- Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability
- DMDD: A Large-Scale Dataset for Dataset Mentions Detection
- Cross-Lingual Supervision improves Large Language Models Pre-training
- Multi-objective optimisation via the R2 utilities
- Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
- Generating Visual Spatial Description via Holistic 3D Scene Understanding
- Transfer operators on graphs: Spectral clustering and beyond
- Tester-Learners for Halfspaces: Universal Algorithms
- ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation
- Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
- Visualization for Recommendation Explainability: A Survey and New Perspectives
- Marginalized Beam Search Algorithms for Hierarchical HMMs
- HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
- HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation
- ReFIT: Relevance Feedback from a Reranker during Inference
- MedLens: Improve Mortality Prediction Via Medical Signs Selecting and Regression
- Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives
- Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
- Persian Typographical Error Type Detection Using Deep Neural Networks on Algorithmically-Generated Misspellings
- ViDaS Video Depth-aware Saliency Network
- Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach
- Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees
- S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering
- Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling
- Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization
- Efficient and Deterministic Search Strategy Based on Residual Projections for Point Cloud Registration with Correspondences
- A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy
- What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability
- S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning
- RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design
- QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations
- Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery
- Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs Towards Robot-assisted Intubation
- Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation
- Self-Reinforcement Attention Mechanism For Tabular Learning
- Sensing of inspiration events from speech: comparison of deep learning and linguistic methods
- Probabilistic Lexicase Selection
- Learning Global-aware Kernel for Image Harmonization
- Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
- Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages
- A Generic Performance Model for Deep Learning in a Distributed Environment
- Few-shot 3D Shape Generation
- Algorithmic failure as a humanities methodology: machine learning's mispredictions identify rich cases for qualitative analysis
- V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection
- Moment Matching Denoising Gibbs Sampling
- Applying Ising Machines to Multi-objective QUBOs
- Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern
- A Path to Holistic Privacy in Stream Processing Systems
- Goal-Oriented Communications in Federated Learning via Feedback on Risk-Averse Participation
- LLM-Pruner: On the Structural Pruning of Large Language Models
- CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search
- Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets
- Efficient ConvBN Blocks for Transfer Learning and Beyond
- Towards Code Generation from BDD Test Case Specifications: A Vision
- DAP: A Dynamic Adversarial Patch for Evading Person Detectors
- Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
- SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization
- MIDI-Draw: Sketching to Control Melody Generation
- Attributable and Scalable Opinion Summarization
- Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing
- Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
- Introspective Tips: Large Language Model for In-Context Decision Making
- Flexible and Inherently Comprehensible Knowledge Representation for Data-Efficient Learning and Trustworthy Human-Machine Teaming in Manufacturing Environments
- Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation
- Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate
- IKDSumm: Incorporating Key-phrases into BERT for extractive Disaster Tweet Summarization
- PDE-constrained Gaussian process surrogate modeling with uncertain data locations
- Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
- What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics
- Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions
- Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment
- Language-universal phonetic encoder for low-resource speech recognition
- The Deep Promotion Time Cure Model
- Language-Universal Phonetic Representation in Multilingual Speech Pretraining for Low-Resource Speech Recognition
- TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
- StereoVAE: A lightweight stereo-matching system using embedded GPUs
- Decouple knowledge from parameters for plug-and-play language modeling
- Blank-regularized CTC for Frame Skipping in Neural Transducer
- Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information
- Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens
- Constructing Word-Context-Coupled Space Aligned with Associative Knowledge Relations for Interpretable Language Modeling
- Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
- Trustworthy Federated Learning: A Survey
- PORTRAIT: a hybrid aPproach tO cReate extractive ground-TRuth summAry for dIsaster evenT
- Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep Learning
- Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation
- A Sequence-to-Sequence Approach for Arabic Pronoun Resolution
- InstructIE: A Bilingual Instruction-based Information Extraction Dataset
- Enhancing Short-Term Wind Speed Forecasting using Graph Attention and Frequency-Enhanced Mechanisms
- DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
- Artificial intelligence moral agent as Adam Smith's impartial spectator
- Contextualized Word Vector-based Methods for Discovering Semantic Differences with No Training nor Word Alignment
- When SAM Meets Shadow Detection
- Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
- Terraforming -- Environment Manipulation during Disruptions for Multi-Agent Pickup and Delivery
- From Random Search to Bandit Learning in Metric Measure Spaces
- PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning
- JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection
- A Topic-aware Summarization Framework with Different Modal Side Information
- From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
- Recouple Event Field via Probabilistic Bias for Event Extraction
- Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation
- Accelerating Convergence in Global Non-Convex Optimization with Reversible Diffusion
- AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
- PointGPT: Auto-regressively Generative Pre-training from Point Clouds
- Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models
- Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona
- CCGen: Explainable Complementary Concept Generation in E-Commerce
- Learning Diverse Risk Preferences in Population-based Self-play
- Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
- Reciprocal Attention Mixing Transformer for Lightweight Image Restoration
- Graphologue: Exploring Large Language Model Responses with Interactive Diagrams
- Testing System Intelligence
- Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness
- Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition
- Generative Sliced MMD Flows with Riesz Kernels
- Extending Memory for Language Modelling
- Self-Agreement: A Framework for Fine-tuning Language Models to Find Agreement among Diverse Opinions
- A Novel Tensor Factorization-Based Method with Robustness to Inaccurate Rank Estimation
- ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection
- SurgMAE: Masked Autoencoders for Long Surgical Video Analysis
- Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast
- NAIST Academic Travelogue Dataset
- Equivariant Multi-Modality Image Fusion
- Zero-Shot Text Classification via Self-Supervised Tuning
- Phonetic and Prosody-aware Self-supervised Learning Approach for Non-native Fluency Scoring
- PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy
- Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Model
- TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks
- RGB-D And Thermal Sensor Fusion: A Systematic Literature Review
- Post Hoc Explanations of Language Models Can Improve Language Models
- Graph Propagation Transformer for Graph Representation Learning
- PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
- Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
- JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded Systems
- Exploring the Complexity of Deep Neural Networks through Functional Equivalence
- Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
- DUB: Discrete Unit Back-translation for Speech Translation
- AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech Translation
- LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records
- Efficient Mixed Transformer for Single Image Super-Resolution
- Mode-Aware Continual Learning for Conditional Generative Adversarial Networks
- Comfort Foods and Community Connectedness: Investigating Diet Change during COVID-19 Using YouTube Videos on Twitter
- Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction
- Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding
- A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
- ALT: An Automatic System for Long Tail Scenario Modeling
- Domain Generalization Deep Graph Transformation
- Justices for Information Bottleneck Theory
- Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods
- Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning
- Online Learning in a Creator Economy
- Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
- GraphFC: Customs Fraud Detection with Label Scarcity
- Characterizing tradeoffs between teaching via language and demonstrations in multi-agent systems
- Deep Image Compression Using Scene Text Quality Assessment
- Smart Pressure e-Mat for Human Sleeping Posture and Dynamic Activity Recognition
- AutoTrial: Prompting Language Models for Clinical Trial Design
- Enhancing Transformer Backbone for Egocentric Video Action Segmentation
- Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models
- Differentially Private Online Item Pricing
- Differentially Private Adapters for Parameter Efficient Acoustic Modeling
- MD3: The Multi-Dialect Dataset of Dialogues
- Meta-learning for heterogeneous treatment effect estimation with closed-form solvers