应用 · chemistry physics and earth sciences论文趋势 2023–2026
应用方向：chemistry_physics_and_earth_sciences
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,316 篇被归入该主题的论文。
主要结论
- 应用 · chemistry physics and earth sciences论文从 2023 年的 293 篇增长到 2026 年的 1,217 篇，三年间扩大到约 4.2 倍。
- NeurIPS 是发应用 · chemistry physics and earth sciences论文最多的会议，2023–2026 年共 1,107 篇，占四个会议总量的 33%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 95 篇。
- 在「应用领域」的 10 个主题里，它的 2026 年论文数排第 2；同组增长最快的应用 · health medicine是 61 倍，应用 · chemistry physics and earth sciences是 4.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 77 | 65 | 83 | 68 | 293 |
| 2024 | 276 | 160 | 164 | 80 | 680 |
| 2025 | 455 | 297 | 287 | 87 | 1,126 |
| 2026 | 299 | 373 | 441 | 104 | 1,217 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026(Strongly) Replicable Distribution Testers imply High Probability Distribution Testers
- ICML 2026(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML Transformations
- ICLR 2026(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
- CVPR 2026AssemblyBench Physics-Aware Assembly of Complex Industrial Objects
- NeurIPS 2025A Partition Cover Approach to Tokenization
- ICML 2025A Machine Learning Approach to Duality in Statistical Physics
- ICLR 2025A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
- CVPR 2025Accurate Differential Operators for Hybrid Neural Fields
- NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
- ICML 2024$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax
- ICLR 2024A Foundation Model for Error Correction Codes
- CVPR 2024EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
- NeurIPS 2023ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
- ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
- ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
- CVPR 20233D Human Pose Estimation via Intuitive Physics
- NeurIPS 2026ADA: Resolving Attribution Ambiguity in End-to-End Power System Dispatch via Two-Time-Scale Stochastic Approximation
- ICML 2026(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
- ICLR 2026A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
- CVPR 2026Brewing Stronger Features Dual-Teacher Distillation for Multispectral Earth Observation
全部应用 · chemistry physics and earth sciences论文
共 3,316 篇，第 65 / 67 页
- ICML 2023MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
- ICML 2023Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling
- ICML 2023Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
- ICML 2023MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses
- ICML 2023Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
- ICML 2023MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
- ICML 2023NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
- ICML 2023Neural Markov Jump Processes
- ICML 2023NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition
- ICML 2023On Penalty-based Bilevel Gradient Descent Method
- ICML 2023On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
- ICML 2023Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs
- ICML 2023Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits
- ICML 2023Partial Optimality in Cubic Correlation Clustering
- ICML 2023PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
- ICML 2023Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
- ICML 2023Quantum 3D Graph Learning with Applications to Molecule Embedding
- ICML 2023Random Grid Neural Processes for Parametric Partial Differential Equations
- ICML 2023Reconstructive Neuron Pruning for Backdoor Defense
- ICML 2023Rotation and Translation Invariant Representation Learning with Implicit Neural Representations
- ICML 2023Sampling random graph homomorphisms and applications to network data analysis
- ICML 2023Sampling-based Nyström Approximation and Kernel Quadrature
- ICML 2023SE(3) diffusion model with application to protein backbone generation
- ICML 2023SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
- ICML 2023Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
- ICML 2023Smooth Non-stationary Bandits
- ICML 2023Stochastic Gradient Descent under Markovian Sampling Schemes
- ICML 2023Stratified Adversarial Robustness with Rejection
- ICML 2023SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient
- ICML 2023The Statistical Scope of Multicalibration
- ICML 2023Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
- ICML 2023Tight and fast generalization error bound of graph embedding in metric space
- ICML 2023Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten
- ICML 2023Training Deep Surrogate Models with Large Scale Online Learning
- ICML 2023Uncertainty Estimation for Molecules: Desiderata and Methods
- ICML 2023Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
- ICML 2023Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
- ICML 2023Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality
- ICML 2023Width and Depth Limits Commute in Residual Networks
- NeurIPS 2023$H$-Consistency Bounds: Characterization and Extensions
- NeurIPS 20233D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
- NeurIPS 2023A Causal Framework for Decomposing Spurious Variations
- NeurIPS 2023A Spectral Theory of Neural Prediction and Alignment
- NeurIPS 2023Anonymous and Copy-Robust Delegations for Liquid Democracy
- NeurIPS 2023ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
- NeurIPS 2023Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning
- NeurIPS 2023Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
- NeurIPS 2023CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation
- NeurIPS 2023CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation
- NeurIPS 2023Class-Conditional Conformal Prediction with Many Classes
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用 paperlist 查应用 · chemistry physics and earth sciences在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
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常见问题
- 2023–2026 年四大会议一共有多少篇应用 · chemistry physics and earth sciences论文？
- 共 3,316 篇，按年份分别是 2023 年 293 篇、2024 年 680 篇、2025 年 1,126 篇、2026 年 1,217 篇。
- NeurIPS 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- NeurIPS 2026 有 299 篇应用 · chemistry physics and earth sciences论文，上一届是 455 篇。
- ICLR 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- ICLR 2026 有 373 篇应用 · chemistry physics and earth sciences论文，上一届是 297 篇。
- ICML 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- ICML 2026 有 441 篇应用 · chemistry physics and earth sciences论文，上一届是 287 篇。
- CVPR 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- CVPR 2026 有 104 篇应用 · chemistry physics and earth sciences论文，上一届是 87 篇。
- 哪个会议的应用 · chemistry physics and earth sciences论文最多？
- NeurIPS，2023–2026 年共 1,107 篇。