question stringclasses 1
value | subject stringclasses 1
value | choices listlengths 4 4 | answer class label 4
classes |
|---|---|---|---|
Predict which model least fits with the others | model_modality | [
"Spectral Gap Rewiring Layer",
"UNiversal Image-TExt Representation Learning",
"Deep Graph Convolutional Neural Network",
"Adaptive Graph Convolutional Neural Networks"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Selective Kernel Convolution",
"PanGu-$α$",
"Fully Convolutional Network",
"InternVideo: General Video Foundation Models via Generative and Discriminative Learning"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Adaptive NMS",
"DenseNet-Elastic",
"FiLM Module",
"Low-level backbone"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Modular Interactive VOS",
"CTRL",
"EfficientDet",
"Restricted Boltzmann Machine"
] | 1B |
Predict which model least fits with the others | model_modality | [
"DELG",
"PointRend",
"LayoutLMv2",
"DeepSIM"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Twin Delayed Deep Deterministic",
"Generalized State-Dependent Exploration",
"Spatial Group-wise Enhance",
"Forward-Looking Actor"
] | 2C |
Predict which model least fits with the others | model_modality | [
"EmbraceNet: A robust deep learning architecture for multimodal classification",
"Sample Redistribution",
"Implicit Subspace Prior Learning",
"SpecGAN"
] | 3D |
Predict which model least fits with the others | model_modality | [
"WaveNet",
"Phase Gradient Heap Integration",
"Multi-band MelGAN",
"Gated Convolution Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Single-Shot Multi-Object Tracker",
"Pixel Recurrent Neural Network",
"TD Lambda",
"Modular Interactive VOS"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Recurrent Event Network",
"CenterNet",
"Laplacian EigenMap",
"Attentive Walk-Aggregating Graph Neural Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"RetinaNet-RS",
"Unigram Segmentation",
"Byte Pair Encoding",
"Poincaré Embeddings"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Glow-TTS",
"Phase Gradient Heap Integration",
"VocGAN",
"Graph Attention Network v2"
] | 3D |
Predict which model least fits with the others | model_modality | [
"MODNet",
"PrivacyNet",
"ARMA GNN",
"Invertible NxN Convolution"
] | 2C |
Predict which model least fits with the others | model_modality | [
"UNiversal Image-TExt Representation Learning",
"WaveGrad UBlock",
"FiLM Module",
"Beneš Block with Residual Switch Units"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Matrix Non-Maximum Suppression",
"Pythia",
"Class-Attention in Image Transformers",
"VisTR"
] | 1B |
Predict which model least fits with the others | model_modality | [
"RegNetX",
"Heterogeneous Molecular Graph Neural Network",
"Atrous Spatial Pyramid Pooling",
"Visual Geometry Group 19 Layer CNN"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Optimal Transport Modeling",
"E-Branchformer",
"PP-YOLO",
"Depth-wise Plane Sweeping"
] | 1B |
Predict which model least fits with the others | model_modality | [
"DeepWalk",
"Displaced Aggregation Units",
"RESCAL with Relation Prediction",
"Graph Neural Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"ENet",
"MLP-Mixer",
"Atrous Spatial Pyramid Pooling",
"FiLM Module"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Random Ensemble Mixture",
"V-trace",
"Go-Explore",
"Routing Transformer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Conditional Variational Auto Encoder",
"CuBERT",
"VGG-16",
"Cascade Mask R-CNN"
] | 1B |
Predict which model least fits with the others | model_modality | [
"TraDeS",
"Self-Supervised Motion Disentanglement",
"SCARLET",
"Bi-Directional Graph Convolutional Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"GeniePath",
"Effective Squeeze-and-Excitation Block",
"Iterative Inpainting",
"Approximating Spatiotemporal Representations Using a 2DCNN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"PAR Transformer",
"Continuous Bag-of-Words Word2Vec",
"ClassSR",
"Routing Attention"
] | 2C |
Predict which model least fits with the others | model_modality | [
"TernaryBERT",
"MT-PET",
"PREDATOR",
"SC-GPT"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Random Erasing",
"Soft Nearest Neighbor Loss with Annealing Temperature",
"Graph Neural Networks with Continual Learning",
"Local Relation Layer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Class activation guide",
"Four-dimensional A-star",
"Pose-Appearance Disentangling",
"DFDNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"AdaGPR",
"Graph sampling based inductive learning method",
"Laplacian EigenMap",
"CenterNet"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Counterfactuals Explanations",
"Deep Q-Network",
"N-step Returns",
"Fast-YOLOv4-SmallObj"
] | 3D |
Predict which model least fits with the others | model_modality | [
"GridMask",
"DU-GAN",
"Tacotron2",
"Depthwise Dilated Separable Convolution"
] | 2C |
Predict which model least fits with the others | model_modality | [
"RoI Tanh-polar Transform",
"CenterNet",
"FLAVA",
"Contextual Graph Markov Model"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Graph Isomorphism Network",
"LeVIT",
"Generalized Mean Pooling",
"Generic RoI Extractor"
] | 0A |
Predict which model least fits with the others | model_modality | [
"ALIGN",
"Self-critical Sequence Training",
"Sarsa Lambda",
"Quantum Process Tomography"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Poincaré Embeddings",
"Dual Contrastive Learning",
"Inception-v4",
"Multilingual Universal Sentence Encoder"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Non-Local Operation",
"Strided Attention",
"ERNIE",
"Routing Attention"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Spatial Feature Transform",
"Pixel Recurrent Neural Network",
"Synthetic Minority Over-sampling Technique.",
"Forward-Looking Actor"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Template based Graph Neural Network with Optimal Transport Distances",
"Contractive Autoencoder",
"Random Grayscale",
"Cluster-GCN"
] | 3D |
Predict which model least fits with the others | model_modality | [
"TridentNet",
"PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification",
"Displaced Aggregation Units",
"Attention Model"
] | 3D |
Predict which model least fits with the others | model_modality | [
"PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification",
"DenseNet",
"Four-dimensional A-star",
"FashionCLIP"
] | 2C |
Predict which model least fits with the others | model_modality | [
"WaveGrad UBlock",
"XLSR",
"Side-Aware Boundary Localization",
"HiFi-GAN"
] | 2C |
Predict which model least fits with the others | model_modality | [
"UCNet",
"Commute Times Layer",
"YOLOv2",
"Short-Term Dense Concatenate"
] | 1B |
Predict which model least fits with the others | model_modality | [
"SimCSE",
"Part-based Convolutional Baseline",
"Edge-augmented Graph Transformer",
"Reformer"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Mirror Descent Policy Optimization",
"Pythia",
"Self-critical Sequence Training",
"Deterministic Policy Gradient"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Grid Sensitive",
"LayoutLMv2",
"Visual-Spatial-Graph Network",
"VarifocalNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Table Pre-training via Execution",
"SC-GPT",
"Blue River Controls",
"fastText"
] | 2C |
Predict which model least fits with the others | model_modality | [
"A3C",
"RandWire",
"Composite Backbone Network",
"Scale Aggregation Block"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Dimension-wise Fusion",
"Graph Transformer",
"RESCAL",
"Learnable adjacency matrix GCN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Split Attention",
"CubeRE",
"RPDet",
"MoCo v3"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Hierarchical Entity Graph Convolutional Network",
"Context Aggregated Bi-lateral Network for Semantic Segmentation",
"NesT",
"One Representation"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Graph Isomorphism Network",
"Polynomial Convolution",
"TrOCR",
"RPM-Net"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Wizard: Unsupervised goats tracking algorithm",
"Grid Sensitive",
"MetaFormer",
"Neural network for graphs"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Convolution",
"VERtex Similarity Embeddings",
"Swin Transformer",
"Involution"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Deep Deterministic Policy Gradient",
"High-Order Consensuses",
"WaveVAE",
"Sym-NCO"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Invertible 1x1 Convolution",
"PeleeNet",
"GCNII",
"RealNVP"
] | 2C |
Predict which model least fits with the others | model_modality | [
"GPU-Efficient Network",
"RelDiff",
"Big-Little Net",
"Co-Scale Conv-attentional Image Transformer"
] | 1B |
Predict which model least fits with the others | model_modality | [
"CornerNet-Squeeze Hourglass",
"NoisyNet-DQN",
"Nouveau VAE",
"PointAugment"
] | 1B |
Predict which model least fits with the others | model_modality | [
"InternVideo: General Video Foundation Models via Generative and Discriminative Learning",
"YOLOv1",
"Contextual Residual Aggregation",
"MADDPG"
] | 3D |
Predict which model least fits with the others | model_modality | [
"CascadePSP",
"Hyperboloid Embeddings",
"BlendMask",
"BiSeNet V2"
] | 1B |
Predict which model least fits with the others | model_modality | [
"VERtex Similarity Embeddings",
"StoGCN",
"ARMA GNN",
"Skip-gram Word2Vec"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Self-Attention GAN",
"Quantum Process Tomography",
"Pixel Recurrent Neural Network",
"Generative Adversarial Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"High-Order Consensuses",
"Fisher-BRC",
"N-step Returns",
"ConvNeXt"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Residual gating mechanism to compose adverb-action representations",
"FastSpeech 2",
"Spatial Transformer",
"ESPNetv2"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Gated Convolution Network",
"Byte Pair Encoding",
"RAG",
"BLIP: Bootstrapping Language-Image Pre-training"
] | 3D |
Predict which model least fits with the others | model_modality | [
"BasicVSR",
"Fixed Factorized Attention",
"Macaw",
"MacBERT"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Criss-Cross Network",
"Prioritized Sweeping",
"MUSIQ",
"CornerNet-Squeeze"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Cascade Corner Pooling",
"node2vec",
"ZoomNet",
"InstaBoost"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Multi-band MelGAN",
"Modulated Residual Network",
"WaveGAN",
"Glow-TTS"
] | 1B |
Predict which model least fits with the others | model_modality | [
"HyperDenseNet",
"Linformer",
"EdgeBoxes",
"Nonlinear Activation Free Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"RESCAL",
"Global Average Pooling",
"Pyramid Vision Transformer",
"Semantic Reasoning Network"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Graph Attention Network",
"Assemble-ResNet",
"Modulated Residual Network",
"Detection Transformer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Prescribed Generative Adversarial Network",
"Fire Module",
"Spatial Attention Module (ThunderNet)",
"SimCSE"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Twins-PCPVT",
"YOLOP",
"GLOW",
"POMO"
] | 3D |
Predict which model least fits with the others | model_modality | [
"PCA Whitening",
"Quantum Process Tomography",
"ACER",
"Prioritized Experience Replay"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Soft Nearest Neighbor Loss with Annealing Temperature",
"Hyperboloid Embeddings",
"StoGCN",
"Gated Graph Sequence Neural Networks"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Cross-encoder Reranking",
"Augmented SBERT",
"Compressive Transformer",
"Fast-YOLOv2"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Patch Merger Module",
"Random Mix-up",
"Residual Shuffle-Exchange Network",
"Negative Face Recognition"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Inverse Q-Learning",
"uNetXST",
"Switchable Atrous Convolution",
"Blended Diffusion"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Mutual Guidance",
"Hi-LANDER",
"Graph Neural Networks with Continual Learning",
"Cluster-GCN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"XLNet",
"Discriminative Adversarial Search",
"Kalman Optimization for Value Approximation",
"Generative Adversarial Transformer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"lda2vec",
"Byte Pair Encoding",
"ComplEx with N3 Regularizer",
"DeBERTa"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Self-Attention Network",
"Sym-NCO",
"OverFeat",
"ScanSSD"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Handwritten OCR augmentation",
"simple Copy-Paste",
"Simple Visual Language Model",
"Encoder-Decoder model with local and pairwise loss along with shared encoder and discriminator network (EDLPS)"
] | 3D |
Predict which model least fits with the others | model_modality | [
"High-Order Proximity preserved Embedding",
"CP with N3 Regularizer",
"Learnable graph convolutional layer",
"ManifoldPlus"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Group Decreasing Network",
"Receptive Field Block",
"PrivacyNet",
"LayoutLMv2"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Multi-band MelGAN",
"Separate And Diffuse",
"MT-PET",
"SpecGAN"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Spatial Attention Module (ThunderNet)",
"FairMOT",
"Multi-scale Progressive Fusion Network",
"Graph Network-based Simulators"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Context Aggregated Bi-lateral Network for Semantic Segmentation",
"Directional Sparse FIltering",
"Inception-A",
"Deformable Kernel"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Visformer",
"Cross-encoder Reranking",
"Discriminative and Generative Network",
"Inception v2"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Conditional Position Encoding Vision Transformer",
"Recurrent Event Network",
"Monocular Real-Time Volumetric Performance Capture",
"Video Language Graph Matching Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Conditional Variational Auto Encoder",
"Phase Shuffle",
"Guided Anchoring",
"Population Based Augmentation"
] | 1B |
Predict which model least fits with the others | model_modality | [
"O-Net",
"Position-Sensitive RoI Pooling",
"PointQuad-Transformer",
"Stochastic Dueling Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Multilingual Universal Sentence Encoder",
"CornerNet-Squeeze Hourglass",
"Extended Transformer Construction",
"SentencePiece"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Deeper Atrous Spatial Pyramid Pooling",
"Asynchronous Proximal Policy Optimization",
"LeNet",
"Feature Pyramid Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Knowledge Enhanced Masked Language Model",
"Go-Explore",
"ReasonBERT",
"GPT-3"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Adaptive Feature Pooling",
"mBERT",
"Prime Dilated Convolution",
"VGG and variational Model Decomposition"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Generalized Mean Pooling",
"Multi-partition Embedding Interaction",
"Scattering Transform",
"RevNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Inception-B",
"Encoder-Decoder model with local and pairwise loss along with shared encoder and discriminator network (EDLPS)",
"Deformable Convolution",
"Depthwise Convolution"
] | 1B |
Predict which model least fits with the others | model_modality | [
"GraphSAGE",
"Graph sampling based inductive learning method",
"Spatial CNN with UNet based Encoder-decoder and ConvLSTM",
"DeepDrug"
] | 2C |
Predict which model least fits with the others | model_modality | [
"RandAugment",
"XLNet",
"Greedy Policy Search",
"MoGA-A"
] | 1B |
Predict which model least fits with the others | model_modality | [
"PointRend",
"Double Deep Q-Learning",
"ResNet-RS",
"Center Pooling"
] | 1B |
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