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과학 포스터 디자인

NeurIPS, ICML, ICLR의 실제 학회 포스터 100점을 살펴보세요. 학술 포스터 디자인과 연구 포스터 디자인 사례를 모은 과학 포스터 디자인 갤러리로, 레이아웃·그림 배치·읽기 순서를 출판된 연구에서 그대로 참고해 자신의 포스터를 디자인할 수 있습니다.

포스터 100개

Biologically-inspired adaptive learning in the Hopfield-network based self-optimization model — NeurIPS 2023 posterNeurIPS2023

Biologically-inspired adaptive learning in the Hopfield-network based self-optimization model

NeurIPS 2023

The Hessian Screening Rule — NeurIPS 2022 posterNeurIPS2022

The Hessian Screening Rule

NeurIPS 2022

Transformers, parallel computation, and logarithmic depth — ICML 2024 posterICML2024

Transformers, parallel computation, and logarithmic depth

ICML 2024

Neural Tangent Kernels for Axis-Aligned Tree Ensembles — ICML 2024 posterICML2024

Neural Tangent Kernels for Axis-Aligned Tree Ensembles

ICML 2024

CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization — NeurIPS 2022 posterNeurIPS2022

CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization

NeurIPS 2022

Identifying the Context Shift between Test Benchmarks and Production Data — NeurIPS 2022 posterNeurIPS2022

Identifying the Context Shift between Test Benchmarks and Production Data

NeurIPS 2022

Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings — NeurIPS 2022 posterNeurIPS2022

Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings

NeurIPS 2022

Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models — ICLR 2024 posterICLR2024

Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models

ICLR 2024

Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression — ICLR 2024 posterICLR2024

Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression

ICLR 2024

Collective Certified Robustness against Graph Injection Attacks — ICML 2024 posterICML2024

Collective Certified Robustness against Graph Injection Attacks

ICML 2024

Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning — NeurIPS 2023 posterNeurIPS2023

Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning

NeurIPS 2023

G$^2$N$^2$ : Weisfeiler and Lehman go grammatical — ICLR 2024 posterICLR2024

G$^2$N$^2$ : Weisfeiler and Lehman go grammatical

ICLR 2024

Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings — NeurIPS 2022 posterNeurIPS2022

Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings

NeurIPS 2022

Differentially Private CutMix for Split Learning with Vision Transformer — NeurIPS 2022 posterNeurIPS2022

Differentially Private CutMix for Split Learning with Vision Transformer

NeurIPS 2022

Light Schrödinger Bridge — ICLR 2024 posterICLR2024

Light Schrödinger Bridge

ICLR 2024

Conditional Matrix Flows for Gaussian Graphical Models — NeurIPS 2023 posterNeurIPS2023

Conditional Matrix Flows for Gaussian Graphical Models

NeurIPS 2023

A Context-Integrated Transformer-Based Neural Network for Auction Design — ICML 2022 posterICML2022

A Context-Integrated Transformer-Based Neural Network for Auction Design

ICML 2022

DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks — ICML 2022 posterICML2022

DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks

ICML 2022

Learning to Reach Goals via Diffusion — ICML 2024 posterICML2024

Learning to Reach Goals via Diffusion

ICML 2024

GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model — ICML 2024 posterICML2024

GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model

ICML 2024

Matrix Compression via Randomized Low Rank and Low Precision Factorization — NeurIPS 2023 posterNeurIPS2023

Matrix Compression via Randomized Low Rank and Low Precision Factorization

NeurIPS 2023

All in a Row: Compressed Convolution Networks for Graphs — ICML 2023 posterICML2023

All in a Row: Compressed Convolution Networks for Graphs

ICML 2023

Inverse Approximation Theory for Nonlinear Recurrent Neural Networks — ICLR 2024 posterICLR2024

Inverse Approximation Theory for Nonlinear Recurrent Neural Networks

ICLR 2024

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing — ICLR 2022 posterICLR2022

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing

ICLR 2022

RNA-Protein Interaction Classification via Sequence Embeddings — ICLR 2024 posterICLR2024

RNA-Protein Interaction Classification via Sequence Embeddings

ICLR 2024

Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data — ICLR 2024 posterICLR2024

Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data

ICLR 2024

DeepJoint: Robust Survival Modelling Under Clinical Presence Shift — NeurIPS 2022 posterNeurIPS2022

DeepJoint: Robust Survival Modelling Under Clinical Presence Shift

NeurIPS 2022

Fast kinematics modeling for conjunction with lens image modeling — NeurIPS 2022 posterNeurIPS2022

Fast kinematics modeling for conjunction with lens image modeling

NeurIPS 2022

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset — ICML 2024 posterICML2024

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

ICML 2024

MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images — ICLR 2024 posterICLR2024

MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images

ICLR 2024

Input-gradient space particle inference for neural network ensembles — ICLR 2024 posterICLR2024

Input-gradient space particle inference for neural network ensembles

ICLR 2024

A Robust Test for the Stationarity Assumption in Sequential Decision Making — ICML 2023 posterICML2023

A Robust Test for the Stationarity Assumption in Sequential Decision Making

ICML 2023

InfinityGAN: Towards Infinite-Pixel Image Synthesis — ICLR 2022 posterICLR2022

InfinityGAN: Towards Infinite-Pixel Image Synthesis

ICLR 2022

Parallel Sampling of Diffusion Models — ICML 2023 posterICML2023

Parallel Sampling of Diffusion Models

ICML 2023

Mechanistic Mode Connectivity — ICML 2023 posterICML2023

Mechanistic Mode Connectivity

ICML 2023

PatchRot: A Self-Supervised Technique for Training Vision Transformers — NeurIPS 2022 posterNeurIPS2022

PatchRot: A Self-Supervised Technique for Training Vision Transformers

NeurIPS 2022

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network — ICML 2024 posterICML2024

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network

ICML 2024

DARTFormer: Finding The Best Type Of Attention — NeurIPS 2022 posterNeurIPS2022

DARTFormer: Finding The Best Type Of Attention

NeurIPS 2022

Color Equivariant Convolutional Networks — NeurIPS 2023 posterNeurIPS2023

Color Equivariant Convolutional Networks

NeurIPS 2023

Langevin Autoencoders for Learning Deep Latent Variable Models — NeurIPS 2022 posterNeurIPS2022

Langevin Autoencoders for Learning Deep Latent Variable Models

NeurIPS 2022

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning — ICML 2022 posterICML2022

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning

ICML 2022

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation — ICML 2023 posterICML2023

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

ICML 2023

VideoComposer: Compositional Video Synthesis with Motion Controllability — NeurIPS 2023 posterNeurIPS2023

VideoComposer: Compositional Video Synthesis with Motion Controllability

NeurIPS 2023

Quantifying Network Similarity using Graph Cumulants — ICLR 2024 posterICLR2024

Quantifying Network Similarity using Graph Cumulants

ICLR 2024

Self-supervised detection of atmospheric phenomena from remotely sensed synthetic aperture radar imagery — NeurIPS 2022 posterNeurIPS2022

Self-supervised detection of atmospheric phenomena from remotely sensed synthetic aperture radar imagery

NeurIPS 2022

Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum — ICML 2023 posterICML2023

Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum

ICML 2023

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval — ICML 2022 posterICML2022

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval

ICML 2022

Agnostic Learnability of Halfspaces via Logistic Loss — ICML 2022 posterICML2022

Agnostic Learnability of Halfspaces via Logistic Loss

ICML 2022

On the Convergence of mSGD and AdaGrad for Stochastic Optimization — ICLR 2022 posterICLR2022

On the Convergence of mSGD and AdaGrad for Stochastic Optimization

ICLR 2022

Towards Unbiased Gravitational-Wave Parameter Estimation using Score-Based Likelihood Characterization — ICML 2023 posterICML2023

Towards Unbiased Gravitational-Wave Parameter Estimation using Score-Based Likelihood Characterization

ICML 2023

Deconvolving Detector Effects for Distribution Moments — NeurIPS 2022 posterNeurIPS2022

Deconvolving Detector Effects for Distribution Moments

NeurIPS 2022

Conformal Semantic Keypoint Detection with Statistical Guarantees — NeurIPS 2022 posterNeurIPS2022

Conformal Semantic Keypoint Detection with Statistical Guarantees

NeurIPS 2022

Equivariant Polynomials for Graph Neural Networks — ICML 2023 posterICML2023

Equivariant Polynomials for Graph Neural Networks

ICML 2023

SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots — NeurIPS 2023 posterNeurIPS2023

SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots

NeurIPS 2023

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger — NeurIPS 2023 posterNeurIPS2023

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

NeurIPS 2023

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks — ICLR 2024 posterICLR2024

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks

ICLR 2024

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science — ICLR 2024 posterICLR2024

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science

ICLR 2024

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost — ICML 2024 posterICML2024

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost

ICML 2024

Unveiling Privacy, Memorization, and Input Curvature Links — ICML 2024 posterICML2024

Unveiling Privacy, Memorization, and Input Curvature Links

ICML 2024

Inverse Transition Learning for Characterizing Near-Optimal Dynamics in Offline Reinforcement Learning — ICML 2023 posterICML2023

Inverse Transition Learning for Characterizing Near-Optimal Dynamics in Offline Reinforcement Learning

ICML 2023

Active Learning with Table Language Models — NeurIPS 2022 posterNeurIPS2022

Active Learning with Table Language Models

NeurIPS 2022

UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining — ICLR 2023 posterICLR2023

UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining

ICLR 2023

A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression — NeurIPS 2023 posterNeurIPS2023

A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression

NeurIPS 2023

A View From Somewhere: Human-Centric Face Representations — NeurIPS 2022 posterNeurIPS2022

A View From Somewhere: Human-Centric Face Representations

NeurIPS 2022

Comparing Optimization Targets for Contrast-Consistent Search — NeurIPS 2023 posterNeurIPS2023

Comparing Optimization Targets for Contrast-Consistent Search

NeurIPS 2023

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery — ICLR 2022 posterICLR2022

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery

ICLR 2022

StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN — ICLR 2023 posterICLR2023

StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN

ICLR 2023

Fine-Tuning Language Models with Just Forward Passes — NeurIPS 2023 posterNeurIPS2023

Fine-Tuning Language Models with Just Forward Passes

NeurIPS 2023

VectorMapNet: End-to-end Vectorized HD Map Learning — ICML 2023 posterICML2023

VectorMapNet: End-to-end Vectorized HD Map Learning

ICML 2023

Visual Correspondence Hallucination — ICLR 2022 posterICLR2022

Visual Correspondence Hallucination

ICLR 2022

Towards Reasoning-Aware Explainable VQA — NeurIPS 2022 posterNeurIPS2022

Towards Reasoning-Aware Explainable VQA

NeurIPS 2022

Moccasin: Efficient Tensor Rematerialization for Neural Networks — ICML 2023 posterICML2023

Moccasin: Efficient Tensor Rematerialization for Neural Networks

ICML 2023

How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability? — ICML 2024 posterICML2024

How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability?

ICML 2024

Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker — ICML 2023 posterICML2023

Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker

ICML 2023

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration — ICML 2024 posterICML2024

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration

ICML 2024

NeuPL: Neural Population Learning — ICLR 2022 posterICLR2022

NeuPL: Neural Population Learning

ICLR 2022

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling — ICML 2024 posterICML2024

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

ICML 2024

A Geometric Framework for Understanding Memorization in Generative Models — ICML 2024 posterICML2024

A Geometric Framework for Understanding Memorization in Generative Models

ICML 2024

RvS: What is Essential for Offline RL via Supervised Learning? — ICLR 2022 posterICLR2022

RvS: What is Essential for Offline RL via Supervised Learning?

ICLR 2022

Near-real-time monitoring of global ocean carbon sink — ICLR 2024 posterICLR2024

Near-real-time monitoring of global ocean carbon sink

ICLR 2024

Uni[MASK]: Unified Inference in Sequential Decision Problems — NeurIPS 2022 posterNeurIPS2022

Uni[MASK]: Unified Inference in Sequential Decision Problems

NeurIPS 2022

Dichotomy in Compositional Reasoning: Scaling and Limitations of LLMs in Composite Task — ICLR 2024 posterICLR2024

Dichotomy in Compositional Reasoning: Scaling and Limitations of LLMs in Composite Task

ICLR 2024

Data-efficient Large Vision Models through Sequential Autoregression — ICML 2024 posterICML2024

Data-efficient Large Vision Models through Sequential Autoregression

ICML 2024

Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels — ICLR 2022 posterICLR2022

Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels

ICLR 2022

[Re] Graph Edit Networks — NeurIPS 2022 posterNeurIPS2022

[Re] Graph Edit Networks

NeurIPS 2022

Revisiting Robustness in Graph Machine Learning — ICLR 2023 posterICLR2023

Revisiting Robustness in Graph Machine Learning

ICLR 2023

PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance — NeurIPS 2023 posterNeurIPS2023

PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance

NeurIPS 2023

Subtractive Mixture Models via Squaring: Representation and Learning — ICLR 2024 posterICLR2024

Subtractive Mixture Models via Squaring: Representation and Learning

ICLR 2024

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning — ICML 2024 posterICML2024

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning

ICML 2024

FLAb: Benchmarking deep learning methods for antibody fitness prediction — NeurIPS 2023 posterNeurIPS2023

FLAb: Benchmarking deep learning methods for antibody fitness prediction

NeurIPS 2023

Generation Probabilities are Not Enough: Improving Error Highlighting for AI Code Suggestions — NeurIPS 2022 posterNeurIPS2022

Generation Probabilities are Not Enough: Improving Error Highlighting for AI Code Suggestions

NeurIPS 2022

A Rate-Distortion View of Uncertainty Quantification — ICML 2024 posterICML2024

A Rate-Distortion View of Uncertainty Quantification

ICML 2024

CABINET: Content Relevance-based Noise Reduction for Table Question Answering — ICLR 2024 posterICLR2024

CABINET: Content Relevance-based Noise Reduction for Table Question Answering

ICLR 2024

Sparse Parameterization for Epitomic Dataset Distillation — NeurIPS 2023 posterNeurIPS2023

Sparse Parameterization for Epitomic Dataset Distillation

NeurIPS 2023

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms — ICML 2023 posterICML2023

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms

ICML 2023

Scaling Spherical CNNs — ICML 2023 posterICML2023

Scaling Spherical CNNs

ICML 2023

Truly Scale-Equivariant Deep Nets with Fourier Layers — NeurIPS 2023 posterNeurIPS2023

Truly Scale-Equivariant Deep Nets with Fourier Layers

NeurIPS 2023

Improving equilibrium propagation without weight symmetry through Jacobian homeostasis — ICLR 2024 posterICLR2024

Improving equilibrium propagation without weight symmetry through Jacobian homeostasis

ICLR 2024

Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching — ICML 2024 posterICML2024

Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching

ICML 2024

Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection — ICML 2023 posterICML2023

Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection

ICML 2023

과학 포스터 디자인하는 법

좋은 과학 포스터 디자인을 위한 네 가지 원칙 — 학술 포스터 디자인과 연구 포스터 디자인을 직접 만들 때 체크리스트로 활용하세요.

  1. 1

    명확한 읽기 순서에서 시작하세요

    좋은 과학 포스터 디자인은 시선을 위에서 아래로, 왼쪽에서 오른쪽으로 이끕니다. 관람자가 문제에서 방법, 결과까지 되돌아가지 않고 따라가도록 패널을 배치하세요. 이 갤러리의 포스터가 쓰는 단 흐름과 같습니다.

  2. 2

    그림 하나가 이야기를 끌고 가게 하세요

    기여를 증명하는 단 하나의 그림을 골라 충분한 공간을 주세요. 강한 학회 포스터는 대부분 하나의 핵심 시각 자료로 시작하고, 그 주장 옆에 더 작은 차트와 표를 배치해 뒷받침합니다.

  3. 3

    지나가는 사람도 읽을 만큼 텍스트를 줄이세요

    포스터는 몇 분이 아니라 몇 초 만에 읽힙니다. 짧은 제목, 핵심 요점, 넉넉한 여백을 쓰세요. 과학 포스터 디자인의 목표는 한눈에 이해되는 것이지, 논문을 인쇄하는 것이 아닙니다.

  4. 4

    서체와 색을 일관되게 유지하세요

    제목과 본문에 한두 가지 글자 크기, 절제된 강조색, 정렬된 패널을 쓰면 포스터가 조립한 것이 아니라 디자인한 것처럼 보입니다. 일관성은 신뢰감으로 읽힙니다.

과학 포스터 디자인 FAQ

학술 학회 포스터 디자인에 대한 자주 묻는 질문입니다.

1.이 과학 포스터 디자인 갤러리는 무엇인가요?
NeurIPS, ICML, ICLR의 실제 학술 학회 포스터 100점을 원본 논문과 함께 모은 모음입니다. 과학 포스터 디자인 참고 라이브러리로 활용하세요. 학술 포스터 디자인과 연구 포스터 디자인 사례를 통해 출판된 연구자들이 제목 영역, 그림, 결과, 핵심 요점을 어떻게 배치하는지 볼 수 있습니다.
2.내 논문으로 과학 포스터를 어떻게 디자인하나요?
읽기 순서를 따르고, 하나의 핵심 그림으로 시작하며, 지나가는 사람이 몇 초 만에 흡수할 수 있도록 텍스트를 줄이고, 서체와 색을 일관되게 유지하세요. 또는 PaperToPoster로 논문을 자동으로 배치된 포스터 초안으로 바꾼 뒤 다듬으세요.
3.학회는 어떤 포스터 크기와 형식을 기대하나요?
대부분의 ML 학회는 대형 세로 또는 가로 포스터(보통 A0 정도)를 사용합니다. 여기 사례들은 실제로 채택된 포스터이므로 심사자가 익숙하게 보는 비율, 정보 밀도, 패널 구조에 대한 믿을 만한 길잡이가 됩니다.
4.이 포스터 디자인을 그대로 사용해도 되나요?
복사할 템플릿이 아니라 영감으로 삼으세요. 각 포스터는 저자의 지적 재산이며 원본 출처로 연결됩니다. 레이아웃과 디자인 선택을 연구한 뒤 자신의 내용으로 자신의 포스터를 만드세요.