Papers
Mon 7 Aug 2023
229 papers
- Simple synthetic data reduces sycophancy in large language modelsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored ModelsLLM safety and security → Backdoor and data poisoning attacks
- Exploiting Generalization in Offline Reinforcement Learning via Unseen State AugmentationsOffline RL and imitation learning from data → Offline RL algorithms
- "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language ModelsLLM safety and security → Jailbreaking
- The Copycat Perceptron: Smashing Barriers Through Collective LearningKnowledge distillation → General knowledge distillation methods
- TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge DistillationKnowledge distillation → Multimodal distillation
- AgentBench: Evaluating LLMs as AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic LocalizationDiffusion models → Diffusion foundations and sampling
- Learning Concise and Descriptive Attributes for Visual RecognitionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Diffusion Model in Causal Inference with Unmeasured ConfoundersDiffusion models → Diffusion foundations and sampling +1
- Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn DialogueLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- AlphaStar Unplugged: Large-Scale Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text AlignmentMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DiffSynth: Latent In-Iteration Deflickering for Realistic Video SynthesisDiffusion models → Video generation
- TPTU: Large Language Model-based AI Agents for Task Planning and Tool UsageLLM agents and tool use → General LLM agent frameworks and benchmarks
- Coupling Symbolic Reasoning with Language Modeling for Efficient Longitudinal Understanding of Unstructured Electronic Medical RecordsLLM reasoning → Clinical and biomedical applications
- Energy-Guided Diffusion Model for CBCT-to-CT SynthesisDiffusion models → Medical imaging and segmentation
- Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting SummarizationKnowledge distillation → Federated, robust and private distillation
- Extension of Transformational Machine Learning: Classification Problems
- CIRO: COVID-19 infection risk ontology
- A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction
- AI Text-to-Behavior: A Study In Steerability
- MSLE: An ontology for Materials Science Laboratory Equipment. Large-Scale Devices for Materials Characterization
- Redesigning Out-of-Distribution Detection on 3D Medical Images
- Knowledge Distilled Ensemble Model for sEMG-based Silent Speech Interface
- A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals
- Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface
- The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data
- MCTS guided Genetic Algorithm for optimization of neural network weights
- Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention based Approach
- Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models
- Fixed Inter-Neuron Covariability Induces Adversarial Robustness
- PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning
- Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization
- The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers
- GraPhSyM: Graph Physical Synthesis Model
- Deterministic Neural Illumination Mapping for Efficient Auto-White Balance Correction
- ALFA -- Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals
- Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification
- Optimizing the switching operation in monoclonal antibody production: Economic MPC and reinforcement learning
- Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Prompts
- Universal Automatic Phonetic Transcription into the International Phonetic Alphabet
- Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables
- ViLP: Knowledge Exploration using Vision, Language, and Pose Embeddings for Video Action Recognition
- Advancements In Crowd-Monitoring System: A Comprehensive Analysis of Systematic Approaches and Automation Algorithms: State-of-The-Art
- Intelligent Assistant Language Understanding On Device
- On genuine invariance learning without weight-tying
- FLIPS: Federated Learning using Intelligent Participant Selection
- Developability Approximation for Neural Implicits through Rank Minimization
- Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data
- A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction
- Generative Benchmark Creation for Table Union Search
- Guarding the Guardians: Automated Analysis of Online Child Sexual Abuse
- Evaluating and Explaining Large Language Models for Code Using Syntactic Structures
- Semantic Equivalence of e-Commerce Queries
- From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal
- Trusting Language Models in Education
- DefCor-Net: Physics-Aware Ultrasound Deformation Correction
- Storyfier: Exploring Vocabulary Learning Support with Text Generation Models
- High-Throughput and Accurate 3D Scanning of Cattle Using Time-of-Flight Sensors and Deep Learning
- Mobile Supply: The Last Piece of Jigsaw of Recommender System
- Revisiting Prompt Engineering via Declarative Crowdsourcing
- CORAL: Expert-Curated medical Oncology Reports to Advance Language Model Inference
- Search Engine and Recommendation System for the Music Industry built with JinaAI
- Recurrent Multi-scale Transformer for High-Resolution Salient Object Detection
- Distributionally Robust Classification on a Data Budget
- XFlow: Benchmarking Flow Behaviors over Graphs
- A sparse coding approach to inverse problems with application to microwave tomography
- High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers
- Noncompact uniform universal approximation
- Non-Convex Bilevel Optimization with Time-Varying Objective Functions
- AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning
- 3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields
- FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels
- Mask Frozen-DETR: High Quality Instance Segmentation with One GPU
- Training BERT Models to Carry Over a Coding System Developed on One Corpus to Another
- A Cost Analysis of Generative Language Models and Influence Operations
- Randomized algorithms for precise measurement of differentially-private, personalized recommendations
- SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator
- AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation
- Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation
- SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention
- Nerve Block Target Localization and Needle Guidance for Autonomous Robotic Ultrasound Guided Regional Anesthesia
- Communication-Efficient Framework for Distributed Image Semantic Wireless Transmission
- Scaling may be all you need for achieving human-level object recognition capacity with human-like visual experience
- Prototype Learning for Out-of-Distribution Polyp Segmentation
- DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
- Video-based Person Re-identification with Long Short-Term Representation Learning
- Screen-based 3D Subjective Experiment Software
- Safe Multimodal Communication in Human-Robot Collaboration
- Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization
- SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples
- Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model
- Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
- QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
- Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries
- Matrix Completion in Almost-Verification Time
- Detecting Spells in Fantasy Literature with a Transformer Based Artificial Intelligence
- Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench
All 229
- FFF: Fragments-Guided Flexible Fitting for Building Complete Protein Structures
- WarpEM: Dynamic Time Warping for Accurate Catheter Registration in EM-guided Procedures
- Generative Forests
- KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering
- Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies
- MedMine: Examining Pre-trained Language Models on Medication Mining
- MOMA-Force: Visual-Force Imitation for Real-World Mobile Manipulation
- Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods
- Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels
- AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose
- Recurrent Self-Supervised Video Denoising with Denser Receptive Field
- Negative Lexical Constraints in Neural Machine Translation
- Why We Don't Have AGI Yet
- FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision
- Feature Importance versus Feature Influence and What It Signifies for Explainable AI
- SSL-SoilNet: A Hybrid Transformer-based Framework with Self-Supervised Learning for Large-scale Soil Organic Carbon Prediction
- WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Dataset
- Towards Controllable Natural Language Inference through Lexical Inference Types
- Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization
- Generalized Early Stopping in Evolutionary Direct Policy Search
- When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection
- Efficient Transfer Learning via Causal Bounds
- Partial identification of kernel based two sample tests with mismeasured data
- Topological Interpretations of GPT-3
- Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing
- A Transfer Learning Framework for Proactive Ramp Metering Performance Assessment
- On-ramp and Off-ramp Traffic Flows Estimation Based on A Data-driven Transfer Learning Framework
- Measuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election
- Deep Feature Learning for Wireless Spectrum Data
- Feature Decoupling-Recycling Network for Fast Interactive Segmentation
- Exploring ChatGPT's Empathic Abilities
- Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings
- Keyword Spotting Simplified: A Segmentation-Free Approach using Character Counting and CTC re-scoring
- Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field
- A data-driven approach to predict decision point choice during normal and evacuation wayfinding in multi-story buildings
- Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented Group
- Learning Photometric Feature Transform for Free-form Object Scan
- No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths
- Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods
- Exploring the Physical World Adversarial Robustness of Vehicle Detection
- Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure
- Deepfake Detection: A Comparative Analysis
- RoadScan: A Novel and Robust Transfer Learning Framework for Autonomous Pothole Detection in Roads
- Wide Gaps and Clustering Axioms
- Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data
- Intelligence-Endogenous Management Platform for Computing and Network Convergence
- Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
- Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model
- Biomedical Knowledge Graph Embeddings with Negative Statements
- Doubly Robust Estimator for Off-Policy Evaluation with Large Action Spaces
- RCMHA: Relative Convolutional Multi-Head Attention for Natural Language Modelling
- Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism
- Prompt Guided Copy Mechanism for Conversational Question Answering
- RecycleGPT: An Autoregressive Language Model with Recyclable Module
- PURL: Safe and Effective Sanitization of Link Decoration
- End-to-End Evaluation for Low-Latency Simultaneous Speech Translation
- GaFET: Learning Geometry-aware Facial Expression Translation from In-The-Wild Images
- A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior
- DiT: Efficient Vision Transformers with Dynamic Token Routing
- Spatially Varying Nanophotonic Neural Networks
- Applied metamodelling for ATM performance simulations
- Towards Machine Learning-based Fish Stock Assessment
- Enhancing Nucleus Segmentation with HARU-Net: A Hybrid Attention Based Residual U-Blocks Network
- Bilevel Generative Learning for Low-Light Vision
- Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts
- Robust Ordinal Regression for Subsets Comparisons with Interactions
- VR-based body tracking to stimulate musculoskeletal training
- Heterogeneous Forgetting Compensation for Class-Incremental Learning
- Variable importance for causal forests: breaking down the heterogeneity of treatment effects
- Improving Few-shot and Zero-shot Entity Linking with Coarse-to-Fine Lexicon-based Retriever
- Dual Aggregation Transformer for Image Super-Resolution
- A reading survey on adversarial machine learning: Adversarial attacks and their understanding
- Distortion-aware Transformer in 360deg Salient Object Detection
- RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
- SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs
- Cooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation
- A Hybrid CNN-Transformer Architecture with Frequency Domain Contrastive Learning for Image Deraining
- Solving Falkner-Skan type equations via Legendre and Chebyshev Neural Blocks
- Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM
- Improving Deep Attractor Network by BGRU and GMM for Speech Separation
- Expediting Neural Network Verification via Network Reduction
- Generative AI trial for nonviolent communication mediation
- Part-Aware Transformer for Generalizable Person Re-identification
- AFN: Adaptive Fusion Normalization via an Encoder-Decoder Framework
- Binary Federated Learning with Client-Level Differential Privacy
- HomOpt: A Homotopy-Based Hyperparameter Optimization Method
- Deep Q-Network for Stochastic Process Environments
- GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis
- Exploiting Code Symmetries for Learning Program Semantics
- CrossTalk: Intelligent Substrates for Language-Oriented Interaction in Video-Based Communication and Collaboration
- Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-Smoothing
- LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning
- What has ChatGPT read? The origins of archaeological citations used by a generative artificial intelligence application
- Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
- Studying Large Language Model Generalization with Influence Functions
- DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data
- Dialogue Systems Can Generate Appropriate Responses without the Use of Question Marks? -- Investigation of the Effects of Question Marks on Dialogue Systems
- SynJax: Structured Probability Distributions for JAX
- FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
- Multi-Label Self-Supervised Learning with Scene Images
- High-rate discretely-modulated continuous-variable quantum key distribution using quantum machine learning
- Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation
- Towards General Text Embeddings with Multi-stage Contrastive Learning
- Mirror-NeRF: Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing
- UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
- From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis
- Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations
- DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction
- Feature-Suppressed Contrast for Self-Supervised Food Pre-training
- Local Structure-aware Graph Contrastive Representation Learning
- Simple Rule Injection for ComplEx Embeddings
- Redundancy-aware Transformer for Video Question Answering
- SeACo-Paraformer: A Non-Autoregressive ASR System with Flexible and Effective Hotword Customization Ability
- A Benchmark for Chinese-English Scene Text Image Super-resolution
- Exploring Different Time-series-Transformer (TST) Architectures: A Case Study in Battery Life Prediction for Electric Vehicles (EVs)
- Optimal Approximation and Learning Rates for Deep Convolutional Neural Networks
- APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses
- TempFuser: Learning Agile, Tactical, and Acrobatic Flight Maneuvers Using a Long Short-Term Temporal Fusion Transformer
- Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion
- PaniniQA: Enhancing Patient Education Through Interactive Question Answering
- Analysis of Optical Loss and Crosstalk Noise in MZI-based Coherent Photonic Neural Networks
- Mind the Gap: Improving Success Rate of Vision-and-Language Navigation by Revisiting Oracle Success Routes
- Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
- Unsynchronized Decentralized Q-Learning: Two Timescale Analysis By Persistence
- G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima
- Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion Mining
- Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning
- Imbalanced Large Graph Learning Framework for FPGA Logic Elements Packing Prediction
- Tractability of approximation by general shallow networks