Split (2)

train · 946 rows

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	[ "Soft Actor-Critic (Autotuned Temperature)", "ALBEF", "HyperDenseNet", "Grouped Convolution" ]	0A
Predict which model least fits with the others	model_modality	[ "FractalNet", "Soft Actor-Critic (Autotuned Temperature)", "Robust Predictable Control", "ACTKR" ]	0A
Predict which model least fits with the others	model_modality	[ "ChebNet", "DIoU-NMS", "RevNet", "DenseNAS-B" ]	0A
Predict which model least fits with the others	model_modality	[ "SentencePiece", "HiFi-GAN", "Patch Merger Module", "LR-Net" ]	0A
Predict which model least fits with the others	model_modality	[ "CornerNet-Saccade", "Deep Deterministic Policy Gradient", "FLAVA", "Convolution-enhanced image Transformer" ]	1B
Predict which model least fits with the others	model_modality	[ "Double DQN", "True Online TD Lambda", "PCA Whitening", "MuZero" ]	2C
Predict which model least fits with the others	model_modality	[ "Graph Representation with Global structure", "energy-based model", "ConvNeXt", "CutBlur" ]	0A
Predict which model least fits with the others	model_modality	[ "VGG", "Back to the Feature", "Distributed Distributional DDPG", "LiteSeg" ]	2C
Predict which model least fits with the others	model_modality	[ "Self-Supervised Cross View Cross Subject Pose Contrastive Learning", "GPT-NeoX", "Anycost GAN", "Inception v2" ]	1B
Predict which model least fits with the others	model_modality	[ "Denoising Autoencoder", "Diffusion", "CornerNet-Squeeze Hourglass", "Recurrent Event Network" ]	3D
Predict which model least fits with the others	model_modality	[ "Region Proposal Network", "EfficientNetV2", "Byte Pair Encoding", "Hourglass Module" ]	2C
Predict which model least fits with the others	model_modality	[ "Flow Alignment Module", "Clipped Double Q-learning", "RepPoints", "Adaptive Bezier-Curve Network" ]	1B
Predict which model least fits with the others	model_modality	[ "OverFeat", "Graph Representation with Global structure", "DU-GAN", "FractalNet" ]	1B
Predict which model least fits with the others	model_modality	[ "LiteSeg", "RegNetX", "Global and Sliding Window Attention", "Max Pooling" ]	2C
Predict which model least fits with the others	model_modality	[ "CheXNet", "EMQAP", "Xception", "ENet Initial Block" ]	1B
Predict which model least fits with the others	model_modality	[ "Prioritized Sweeping", "SENet", "DU-GAN", "U-Net Generative Adversarial Network" ]	0A
Predict which model least fits with the others	model_modality	[ "Focal Transformers", "mBERT", "BTmPG", "context2vec" ]	0A
Predict which model least fits with the others	model_modality	[ "YOLOv4", "Position-Sensitive RoI Pooling", "FRILL", "Dimension-wise Convolution" ]	2C
Predict which model least fits with the others	model_modality	[ "Temporal ROIAlign", "Fast-OCR", "Random Resized Crop", "Asynchronous Proximal Policy Optimization" ]	3D
Predict which model least fits with the others	model_modality	[ "Content-Conditioned Style Encoder", "FeatureNMS", "GhostNet", "Graph Isomorphism Network" ]	3D
Predict which model least fits with the others	model_modality	[ "Phase Shuffle", "Attentive Walk-Aggregating Graph Neural Network", "SpecGAN", "Tacotron2" ]	1B
Predict which model least fits with the others	model_modality	[ "Graph Attention Network", "Neural Attention Fields", "Neural network for graphs", "Mixture model network" ]	1B
Predict which model least fits with the others	model_modality	[ "CT3D", "Taylor Expansion Policy Optimization", "Depthwise Separable Convolution", "SSD" ]	1B
Predict which model least fits with the others	model_modality	[ "wav2vec Unsupervised", "Dual Path Network", "ALDA", "DU-GAN" ]	0A
Predict which model least fits with the others	model_modality	[ "CTRL", "Support-set Based Cross-Supervision", "MLFPN", "BRepNet" ]	0A
Predict which model least fits with the others	model_modality	[ "FiLM Module", "RegNetX", "Beneš Block with Residual Switch Units", "AccoMontage" ]	1B
Predict which model least fits with the others	model_modality	[ "Deformable Position-Sensitive RoI Pooling", "LipGAN", "Joint Learning Architecture", "I-BERT" ]	3D
Predict which model least fits with the others	model_modality	[ "Lbl2Vec", "Depthwise Convolution", "ALIGN", "Mixup" ]	0A
Predict which model least fits with the others	model_modality	[ "CTAL", "SCNet", "ComplEx with N3 Regularizer", "Adaptive Feature Pooling" ]	2C
Predict which model least fits with the others	model_modality	[ "3-dimensional interaction space", "Temporaral Difference Network", "CARAFE", "REINFORCE" ]	3D
Predict which model least fits with the others	model_modality	[ "Modular Interactive VOS", "Receptive Field Block", "Synthesizer", "BiFPN" ]	2C
Predict which model least fits with the others	model_modality	[ "DenseNAS-B", "Fixed Factorized Attention", "CornerNet-Saccade", "Colorization Transformer" ]	1B
Predict which model least fits with the others	model_modality	[ "Review-guided Answer Helpfulness Prediction", "Wasserstein GAN", "RAG", "Universal Transformer" ]	1B
Predict which model least fits with the others	model_modality	[ "ProxylessNet-GPU", "Switchable Atrous Convolution", "VisTR", "Monte-Carlo Tree Search" ]	3D
Predict which model least fits with the others	model_modality	[ "ProxylessNet-Mobile", "Generalized State-Dependent Exploration", "CS-GAN", "Deep Residual Pansharpening Neural Network" ]	1B
Predict which model least fits with the others	model_modality	[ "Sandwich Transformer", "DistilBERT", "CubeRE", "RandAugment" ]	3D
Predict which model least fits with the others	model_modality	[ "RevNet", "Mask Scoring R-CNN", "Graph sampling based inductive learning method", "Guided Language to Image Diffusion for Generation and Editing" ]	2C
Predict which model least fits with the others	model_modality	[ "NoisyNet-A3C", "Stein Variational Policy Gradient", "DenseNAS-C", "Contrastive BERT" ]	2C
Predict which model least fits with the others	model_modality	[ "Review-guided Answer Helpfulness Prediction", "simple Copy-Paste", "k-Sparse Autoencoder", "MatrixNet" ]	0A
Predict which model least fits with the others	model_modality	[ "Graph Neural Network", "Mask Scoring R-CNN", "Chained-Tracker", "Laplacian Pyramid" ]	0A
Predict which model least fits with the others	model_modality	[ "Random Mix-up", "Multi-partition Embedding Interaction", "Dual Graph Convolutional Networks", "RelDiff" ]	0A
Predict which model least fits with the others	model_modality	[ "Channel-wise Cross Fusion Transformer", "Hourglass Module", "Strided Attention", "TrOCR" ]	2C
Predict which model least fits with the others	model_modality	[ "Fastformer", "InterBERT", "ALBEF", "Paddle Anchor Free Network" ]	0A
Predict which model least fits with the others	model_modality	[ "Dual Graph Convolutional Networks", "FCOS", "Learnable graph convolutional layer", "Graph Representation with Global structure" ]	1B
Predict which model least fits with the others	model_modality	[ "Trust Region Policy Optimization", "PointAugment", "FashionCLIP", "gMLP" ]	0A
Predict which model least fits with the others	model_modality	[ "Principal Neighbourhood Aggregation", "Informative Sample Mining Network", "Crystal Graph Neural Network", "Large-scale Information Network Embedding" ]	1B
Predict which model least fits with the others	model_modality	[ "Deformable Convolution", "FoveaBox", "GPT-3", "Self-Supervised Cross View Cross Subject Pose Contrastive Learning" ]	2C
Predict which model least fits with the others	model_modality	[ "Pansharpening by convolutional neural networks in the full resolution framework", "ClassSR", "Routing Transformer", "Height-driven Attention Network" ]	2C
Predict which model least fits with the others	model_modality	[ "Optimal Transport Modeling", "Octave Convolution", "Adaptive Graph Convolutional Neural Networks", "DiCE Unit" ]	2C
Predict which model least fits with the others	model_modality	[ "Categorical Modularity", "PAUSE", "LLaMA", "PP-OCR" ]	3D
Predict which model least fits with the others	model_modality	[ "High-Order Proximity preserved Embedding", "Wasserstein Embedding for Graph Learning", "Medical Entity Disambiguation using Graph Neural Networks", "DeepLab" ]	3D
Predict which model least fits with the others	model_modality	[ "EmbraceNet: A robust deep learning architecture for multimodal classification", "Inception-C", "Enhanced Seq2Seq Autoencoder via Contrastive Learning", "SqueezeNet" ]	2C
Predict which model least fits with the others	model_modality	[ "Local Mixup", "Attentive Walk-Aggregating Graph Neural Network", "Structural Deep Network Embedding", "Graph sampling based inductive learning method" ]	0A
Predict which model least fits with the others	model_modality	[ "Bottom-up Path Augmentation", "Learnable graph convolutional layer", "Generative Emotion Estimator", "TridentNet Block" ]	1B
Predict which model least fits with the others	model_modality	[ "Confidence Intervals for Diffusion Models", "UNiversal Image-TExt Representation Learning", "Compressive Transformer", "RoBERTa" ]	0A
Predict which model least fits with the others	model_modality	[ "InterBERT", "GCNet", "GPT-2", "Mixup" ]	2C
Predict which model least fits with the others	model_modality	[ "Ghost Module", "RAG", "Neural Radiance Field", "bilayer convolutional neural network" ]	1B
Predict which model least fits with the others	model_modality	[ "RelDiff", "YOLOv3", "Graph Convolutional Network", "Schrödinger Network" ]	1B
Predict which model least fits with the others	model_modality	[ "U-Net", "Discriminative Adversarial Search", "UCTransNet", "Visual-Spatial-Graph Network" ]	1B
Predict which model least fits with the others	model_modality	[ "High-level backbone", "(2+1)D Convolution", "Adaptive Graph Convolutional Neural Networks", "Rank Flow Embedding" ]	2C
Predict which model least fits with the others	model_modality	[ "PP-OCR", "Universal Transformer", "Polynomial Convolution", "Stand-Alone Self Attention" ]	1B
Predict which model least fits with the others	model_modality	[ "The Ikshana Hypothesis of Human Scene Understanding Mechanism", "Temporal Jittering", "Learnable graph convolutional layer", "MoGA-A" ]	2C
Predict which model least fits with the others	model_modality	[ "Nyströmformer", "CodeGen", "RoBERTa", "ACTKR" ]	3D
Predict which model least fits with the others	model_modality	[ "RealFormer", "AltCLIP", "ERNIE", "XLM" ]	1B
Predict which model least fits with the others	model_modality	[ "Grab", "IFNet", "Template based Graph Neural Network with Optimal Transport Distances", "Graph Finite-State Automaton" ]	3D
Predict which model least fits with the others	model_modality	[ "Panoptic FPN", "DenseNAS-A", "GeniePath", "Prediction-aware One-To-One" ]	2C
Predict which model least fits with the others	model_modality	[ "Pixel-BERT", "VERtex Similarity Embeddings", "Spherical Graph Convolutional Network", "Medical Entity Disambiguation using Graph Neural Networks" ]	0A
Predict which model least fits with the others	model_modality	[ "ResNeXt", "Darknet-19", "U-Net", "Graph sampling based inductive learning method" ]	3D
Predict which model least fits with the others	model_modality	[ "FRILL", "Deterministic Policy Gradient", "Policy Similarity Metric", "Random Ensemble Mixture" ]	0A
Predict which model least fits with the others	model_modality	[ "WaveGrad", "Packed Levitated Markers", "Sentence-BERT", "GPT-3" ]	0A
Predict which model least fits with the others	model_modality	[ "Large-scale Information Network Embedding", "VoVNet", "WenLan", "Pyramid Vision Transformer v2" ]	0A
Predict which model least fits with the others	model_modality	[ "RESCAL with Relation Prediction", "Residual Multi-Layer Perceptrons", "MLP-Mixer", "Dense Prediction Transformer" ]	0A
Predict which model least fits with the others	model_modality	[ "SNIPER", "MT-PET", "Active Convolution", "Beta-VAE" ]	1B
Predict which model least fits with the others	model_modality	[ "FBNet", "Fixed Factorized Attention", "Neural Attention Fields", "TinaFace" ]	1B
Predict which model least fits with the others	model_modality	[ "M2Det", "Feature Fusion Module v2", "Reformer", "K-Net" ]	2C
Predict which model least fits with the others	model_modality	[ "Fawkes", "BigBird", "BlendMask", "Convolution-enhanced image Transformer" ]	1B
Predict which model least fits with the others	model_modality	[ "Bilateral Guided Aggregation Layer", "Composite Fields", "ZFNet", "PermuteFormer" ]	3D
Predict which model least fits with the others	model_modality	[ "Gated Graph Sequence Neural Networks", "Automated Graph Learning", "RESCAL", "NoisyNet-A3C" ]	3D
Predict which model least fits with the others	model_modality	[ "End-to-End Neural Diarization", "IICNet", "Glow-TTS", "Bridge-net" ]	1B
Predict which model least fits with the others	model_modality	[ "Contextual Graph Markov Model", "Packed Levitated Markers", "Inverted Bottleneck BERT", "CodeGen" ]	0A
Predict which model least fits with the others	model_modality	[ "Hierarchical Variational Autoencoder", "Compressive Transformer", "NormFormer", "GPT-NeoX" ]	0A
Predict which model least fits with the others	model_modality	[ "Poincaré Embeddings", "TopK Copy", "E-MBConv", "MacBERT" ]	2C
Predict which model least fits with the others	model_modality	[ "Fire Module", "Adaptively Sparse Transformer", "StyleGAN2", "CSPDarknet53" ]	1B
Predict which model least fits with the others	model_modality	[ "Linformer", "Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning", "Learnable adjacency matrix GCN", "Graph Isomorphism Network" ]	0A
Predict which model least fits with the others	model_modality	[ "Sparse R-CNN", "Knowledge Graph Refiner", "MoGA-C", "Hourglass Module" ]	1B
Predict which model least fits with the others	model_modality	[ "Chained-Tracker", "Learnable graph convolutional layer", "ViP-DeepLab", "MoGA-A" ]	1B
Predict which model least fits with the others	model_modality	[ "Self-Attention Guidance", "Adaptively Sparse Transformer", "RetinaMask", "Inception-v4" ]	1B
Predict which model least fits with the others	model_modality	[ "Social-STGCNN", "BigGAN-deep", "MobileNetV2", "Blue River Controls" ]	3D
Predict which model least fits with the others	model_modality	[ "MinCut Pooling", "ComplEx with N3 Regularizer and Relation Prediction Objective", "ChebNet", "ACER" ]	3D
Predict which model least fits with the others	model_modality	[ "Commute Times Layer", "Poincaré Embeddings", "DistilBERT", "Temporal Word Embeddings with a Compass" ]	0A
Predict which model least fits with the others	model_modality	[ "Transformer Decoder", "Neural Cache", "GPT-NeoX", "U-Net" ]	3D
Predict which model least fits with the others	model_modality	[ "Mutual Guidance", "StyleSwin: Transformer-based GAN for High-resolution Image Generation", "DeBERTa", "FSAF" ]	2C
Predict which model least fits with the others	model_modality	[ "Quantum Process Tomography", "Double Deep Q-Learning", "GBST", "Decentralized Distributed Proximal Policy Optimization" ]	2C
Predict which model least fits with the others	model_modality	[ "Grid Sensitive", "Q-Learning", "Sarsa Lambda", "MADDPG" ]	0A
Predict which model least fits with the others	model_modality	[ "Scale Aggregation Block", "Feature Fusion Module v1", "DeLighT", "StereoLayers" ]	2C
Predict which model least fits with the others	model_modality	[ "energy-based model", "Double DQN", "UNet++", "SqueezeNet" ]	1B
Predict which model least fits with the others	model_modality	[ "FoveaBox", "Style-based Recalibration Module", "Disp R-CNN", "Recurrent Replay Distributed DQN" ]	3D
Predict which model least fits with the others	model_modality	[ "NesT", "Context-aware Visual Attention-based (CoVA) webpage object detection pipeline", "Q-Learning", "COCO-FUNIT" ]	2C
Predict which model least fits with the others	model_modality	[ "BlendMask", "LFPNet with test time augmentation", "Switchable Atrous Convolution", "Pythia" ]	3D
Predict which model least fits with the others	model_modality	[ "Confidence Intervals for Diffusion Models", "Double Deep Q-Learning", "Sarsa Lambda", "Firefly algorithm" ]	0A

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